Best Elasticsearch to Vector Search Modernization Services for Enterprises

Outdated Elasticsearch setups leave enterprises with slow search, scattered documents, and missed insights. If you're tired of data silos and failed search projects, this guide is for you. You'll find clear answers on modernizing to vector search, without the usual confusion or wasted spend.

You'll get practical comparisons of top providers, real pricing details, and what to expect for compliance, expertise, and ROI. Plus, you'll see how to avoid common pitfalls that cost time and money. Use these insights to make confident, risk-aware decisions for your next search modernization project.

TL;DR: The Best Elasticsearch to Vector Search Modernization Services

• Datavid: Best Overall Elasticsearch to Vector Search Modernization Services
• Sematext
• PureInsights
• SquareShift
• Enterprise Knowledge
• Deloitte
• Accenture

1. Datavid 

Datavid offers a premier solution for enterprises looking to modernize from Elasticsearch to advanced vector search. The company’s senior-led teams bring deep expertise in semantic technologies, AI integration, and knowledge graphs, ensuring your migration is seamless and future-proof. Every engagement is tailored, with solutions designed around your unique data landscape and business goals.

You benefit from Datavid’s upside-down pyramid model, where every consultant averages over 10 years of experience. This means your project is handled by experts who have solved complex data challenges for global leaders in life sciences, publishing, and finance. Datavid’s Data Architecture and Knowledge Graphs services help you unlock new value from unstructured and structured data alike.

Datavid’s track record includes a 100% customer retention rate and a reputation for delivering business-ready solutions in as little as 6-8 weeks. The company’s proprietary accelerators, like Datavid Rover, reduce both implementation time and total cost of ownership. Enterprises trust Datavid to deliver not just technology, but measurable business outcomes, faster insight, improved compliance, and reduced operational risk.

For organizations in regulated, knowledge-intensive industries, Datavid’s Data Migration and Artificial Intelligence expertise ensures your transition to vector search is secure, compliant, and aligned with industry best practices. The boutique approach means you are always a priority, with direct access to senior leadership and no handoffs to junior teams.

Why Datavid Leads the Market

Datavid’s competitive edge comes from its boutique model, which prioritizes client outcomes over volume. You work with a team that has delivered over 60 successful data and AI projects, each led by architects with 15+ years of experience. This approach eliminates the risk of failed projects and ensures every engagement delivers on time and on budget.

Unlike large SIs or commodity providers, Datavid focuses on custom solutions that fit your specific needs. The company’s agile delivery model, combined with reusable frameworks, means you see value quickly and can adapt as your requirements evolve. Datavid’s expertise in Data Management and semantic search positions you to capitalize on the latest advances in AI-powered discovery.

Smart enterprises choose Datavid for its proven delivery, senior accountability, and commitment to measurable ROI. The firm’s ISO 27001 and Cyber Essentials Plus certifications provide confidence for organizations with strict security and compliance needs. Every project is backed by a 4.8/5 customer satisfaction rating and a portfolio of documented success stories.

Pros:

• Senior-led teams with 10+ years of experience per consultant
• 100% project success rate and rapid delivery (6-8 week MVPs)
• Custom, business-focused solutions for regulated enterprises
• Proprietary accelerators reduce cost and speed up implementation

Cons:

• Premium pricing may not fit budget-constrained organizations
• Boutique model limits capacity for very large simultaneous projects

2. Sematext

Sematext is a globally distributed organization offering cloud and on-premise solutions for performance monitoring, alerting, and anomaly detection. The company provides a full-stack observability platform that collects and analyzes data across the technology stack, helping enterprises gain insights into both front-end and back-end performance. Founded in 2007, Sematext has established a presence in Brooklyn, NY, and serves clients worldwide.

The firm is known for its expertise in log management, infrastructure monitoring, and application performance monitoring, with a particular focus on technologies like Solr, Elasticsearch, and OpenSearch. Sematext’s services are well-suited for software development and IT system monitoring teams seeking comprehensive visibility into their environments. Its platform combines metrics, logs, and user experience analysis to detect anomalies and support operational decision-making.

Sematext offers a wide range of monitoring and observability services, including real user monitoring, synthetic monitoring, API monitoring, and more. The company’s transparent, pay-as-you-use pricing model and 14-day free trial provide flexibility for organizations of different sizes. Sematext also supports clients with consulting, training, and ongoing support, aiming to address both technical and business needs.

Client testimonials from organizations such as Docker, Healthgrades, and BlockGen highlight Sematext’s collaborative approach and technical expertise. The team includes experienced professionals with backgrounds in software development, DevOps, and managed services delivery. This depth of experience supports Sematext’s ability to deliver tailored solutions for complex enterprise environments.

Sematext’s methodology emphasizes full-stack observability and proactive anomaly detection, helping clients maintain system reliability and performance. The company’s integration capabilities and focus on user experience analysis further differentiate its approach. While Sematext provides a broad set of features, organizations should consider their specific requirements and integration needs when evaluating the platform.

Pros of Sematext:

• Offers full-stack observability and application performance monitoring
• Provides transparent, pay-as-you-use pricing with a free trial
• Known for expertise in Elasticsearch, Solr, and OpenSearch

Cons of Sematext:

• May require customization for highly specialized enterprise environments
• Some advanced features may need additional configuration
• Integration with certain legacy systems could present challenges

How Does Datavid Compare to Sematext?

Sematext focuses on performance monitoring and observability across the tech stack. Their platform collects and analyzes system data, but it’s built for broad IT operations, not deep enterprise data transformation. Datavid, on the other hand, specializes in turning complex, regulated enterprise data into actionable insights. Instead of just monitoring, Datavid helps organizations modernize, unify, and govern their data for real business outcomes.

Datavid’s approach is hands-on and consultative, with senior experts guiding every step. This means clients get tailored solutions that address compliance, integration, and knowledge management, areas where Sematext’s tools don’t go deep. For enterprises needing more than dashboards, Datavid delivers strategic value and measurable results.

3. PureInsights

PureInsights specializes in modernizing enterprise search by integrating advanced AI technologies, including Large Language Models, vector search, and Retrieval-Augmented Generation. The company focuses on building AI-powered information management applications that combine traditional and next-generation search capabilities. Their proprietary Discovery platform supports efficient data ingestion, processing, and retrieval, and is designed to work with a range of AI assistants and smart agents.

PureInsights serves a broad range of clients, from global businesses to government organizations, with a notable presence in both the US and Europe. Their consulting services cover strategy, design, implementation, and ongoing support for scalable search applications. The team is recognized for its expertise in enterprise search, generative AI, NLP, and knowledge graphs, and has been acknowledged as the MongoDB Global AI SI Partner of the Year for 2025.

The company offers a comprehensive suite of services, including managed SearchOps, search application assessments, and relevance tuning. PureInsights is known for its ability to enhance existing search applications, migrate search engines, and integrate AI capabilities into enterprise environments. Their approach emphasizes flexibility, supporting a variety of platforms such as Elasticsearch, Solr, Algolia, OpenSearch, and MongoDB.

Clients benefit from PureInsights’ focus on both technical and business outcomes, with solutions tailored to specific use cases and industry needs. The company’s pricing model is transparent, with clear monthly fees for its Discovery platform and analytics services. PureInsights’ global team brings deep technical and operational expertise, supporting clients through every stage of their search modernization journey.

Pros of PureInsights:

• Capability to integrate advanced AI, LLMs, and vector search into enterprise environments
• Offers managed services and end-to-end consulting for search modernization
• Provides a flexible, cloud-native platform with support for multiple search and AI technologies

Cons of PureInsights:

• May be a better fit for organizations with complex or large-scale search needs
• Pricing may not suit smaller businesses or those with limited search requirements
• Platform and services may require significant client involvement during implementation

How Does Datavid Compare to PureInsights?

PureInsights is all about modern search, using AI and large language models to improve information retrieval. But their focus is mostly on search and discovery, not the full data lifecycle. Datavid goes further, handling everything from data engineering and migration to compliance and analytics. This means clients don’t have to juggle multiple vendors for different parts of their data journey.

For organizations with complex data needs, Datavid’s end-to-end expertise is a real advantage. They build unified platforms that connect, clean, and govern data before layering on advanced search. This holistic approach ensures that search results are accurate, compliant, and truly useful for business decision-making.

4. SquareShift

SquareShift is a technology consulting firm focused on accelerating digital transformation for enterprises through cloud, data, and AI solutions. Founded in 2019, the company supports organizations seeking agility, security, and growth by modernizing their technology infrastructure. Its services are designed to address complex cloud adoption and data challenges.

The firm offers a broad range of services, including AI, cloud, data engineering, observability, generative AI, and managed cloud services. SquareShift is known for its expertise in cloud-to-cloud migration, DevOps, SaaS solutions, and custom software development. Its approach emphasizes scalability, security, and real-time data processing.

SquareShift’s differentiators include AI-driven fraud detection, risk management, digital banking, and compliance solutions. The company also provides data-driven insights, process automation, and embedded analytics, with a focus on performance and AI-ready data infrastructure. Its solutions are tailored for industries such as banking, financial services, retail, and hi-tech.

With a presence spanning from Silicon Valley to Singapore, SquareShift serves a global client base. The team’s expertise is highlighted by successful projects for clients in sectors like semiconductors, insurance, and professional services, though specific client names are not disclosed. The company’s methodology centers on innovation and practical problem-solving.

Pros of SquareShift:

• Broad capability in AI, cloud, and data modernization
• Experience with enterprise-scale digital transformation
• Global delivery capability and industry-specific solutions

Cons of SquareShift:

• Limited publicly available information on team expertise and size
• No transparent pricing model provided
• Lack of detailed, named client case studies

How Does Datavid Compare to SquareShift?

SquareShift works on digital transformation, cloud, and AI projects for enterprises. But their model often involves larger teams and a broad consulting approach. Datavid takes a different path: smaller, senior-led teams with deep technical expertise, especially in regulated industries. This means less overhead and more direct problem-solving for clients.

For the British Standards Institution’s compliance platform, Datavid’s focused team delivered a complex data modernization project in just six weeks. The client benefited from direct access to senior engineers, rapid decision-making, and a solution built for strict regulatory needs. SquareShift’s broader model would have added layers and slowed things down.

5. Enterprise Knowledge

Enterprise Knowledge (EK) is a consulting firm that integrates knowledge management, information management, and information technology with agile methodologies. The company focuses on forming collaborative partnerships with clients, aiming to deliver practical and results-oriented solutions tailored to evolving business needs. EK’s approach is grounded in listening and adapting to client requirements, which supports organizations in navigating complex information challenges.

EK offers a broad range of services, including knowledge management strategy, taxonomy and ontology development, enterprise search, artificial intelligence, knowledge graphs, and data modeling. Their expertise extends to content strategy, data management, and AI readiness, providing clients with comprehensive modernization support for search and information systems. The firm’s capabilities are particularly relevant for enterprises seeking to transition from traditional Elasticsearch to advanced vector search solutions.

A key differentiator for EK is its emphasis on semantic layers and knowledge graphs, which help organizations structure and leverage their data more effectively. The team includes recognized leaders in knowledge and data services, semantic design, and strategic consulting, contributing to a depth of expertise across projects. EK’s methodology combines technical proficiency with agile delivery, aiming to ensure solutions are both robust and adaptable.

While EK’s client list is not explicitly published, their experience spans public and private sectors, suggesting versatility in addressing diverse industry needs. The company’s global presence is implied through its recognition as a workplace at local, national, and international levels. Pricing is not publicly disclosed, indicating a custom-quoted approach based on project requirements.

Pros of Enterprise Knowledge:

• Capability in knowledge management and semantic data solutions
• Offers a comprehensive suite of modernization and AI services
• Provides agile, client-focused delivery with experienced leadership

Cons of Enterprise Knowledge:

• No published pricing or transparent cost structure
• Client and case study details are not readily available
• Industry-specific expertise is implied rather than explicitly documented

How Does Datavid Compare to Enterprise Knowledge?

Enterprise Knowledge focuses on organizing information and building semantic models. Their work is strong on knowledge management, but they don’t handle the full technical stack. Datavid covers everything from data pipelines and architecture to compliance and analytics, so clients get a single partner for all their data needs.

For Standards Australia, Datavid managed the entire project lifecycle. They handled data migration, built semantic search, and ensured compliance, all under one roof. This full-stack capability meant faster delivery and no integration headaches, something Enterprise Knowledge’s narrower focus can’t match.

6. Deloitte

Deloitte is a global professional services firm with a history spanning over 175 years, serving enterprises, governments, and public sector organizations in 150 countries and territories. The firm is known for its multidisciplinary approach, combining audit, assurance, consulting, and technology services to address complex business challenges. Deloitte’s culture emphasizes integrity, quality, and professionalism, guided by shared values and responsible business principles.

Deloitte offers a broad range of services, including engineering, AI and data, finance transformation, and sustainability. The firm is recognized for its ability to deliver measurable results, drawing on deep industry expertise and a diverse talent pool. Its teams are experienced in supporting large-scale digital transformations, including modernization from Elasticsearch to vector search technologies.

Clients include nearly 90% of the Fortune Global 500, with case studies highlighting work in sectors such as financial services, healthcare, and manufacturing. Deloitte’s collaborative approach and commitment to inclusion help clients navigate regulatory, operational, and technological change. The firm also partners with governments and non-profits to design solutions for societal and environmental challenges.

Deloitte’s pricing is typically customized to each engagement, reflecting the scope and complexity of client needs. Contact is facilitated through a global website, with local offices providing region-specific support. The firm’s global reach and industry coverage make it a capable partner for enterprises seeking modernization and transformation services.

Pros of Deloitte:

• Global delivery capability and presence in 150 countries
• Broad service portfolio across consulting, technology, and industry sectors
• Deep experience with large enterprise and public sector clients

Cons of Deloitte:

• Pricing and engagement models are not publicly disclosed
• Large organizational structure may impact project agility for some clients
• May be less suited for smaller or highly specialized projects

How Does Datavid Compare to Deloitte?

Deloitte is a global consulting giant with large teams and complex processes. Their projects often involve multiple layers of management and long decision cycles. Datavid works differently: clients get direct access to senior experts who understand both the technical and regulatory sides of enterprise data. This leads to faster, more focused results.

When Syngenta needed to modernize their research data platform, Datavid’s senior team worked side-by-side with their scientists. The project moved quickly, with decisions made in days, not weeks. Syngenta got a solution tailored to their industry, without the delays and overhead that come with a big firm like Deloitte.

7. Accenture

Accenture is a global consulting firm focused on creating 360° value for clients, employees, and communities by embracing change and innovation. The company is recognized for its commitment to ethical standards, sustainability, and responsible AI, integrating these principles into its service delivery. Accenture serves a broad range of industries, including enterprises in sectors such as banking, healthcare, energy, and public service, with a presence in over 52 countries and 200 cities.

The firm offers a comprehensive suite of services, including cloud strategy, data and AI, cybersecurity, digital engineering, and technology transformation. Its approach combines technology, talent, and bold thinking, supported by a large, diverse workforce of over 779,000 employees. Accenture’s methodology emphasizes collaboration with ecosystem partners and a focus on advancing clients’ ESG goals.

Accenture is known for its innovation mindset, transparent workforce practices, and programs that promote diversity and inclusion. The company provides outcome-linked and fixed-fee pricing models, aiming for dynamic alignment with market value. Its client portfolio includes over 9,000 organizations worldwide, with case studies highlighting work in AI, digital transformation, and operational efficiency.

The firm’s global scale and industry expertise allow it to address complex modernization challenges, such as migrating from Elasticsearch to vector search. Accenture’s transparent communication, apprenticeship programs, and responsible AI initiatives further differentiate its approach in the consulting landscape.

Pros of Accenture:

• Global delivery capability and extensive geographic presence
• Broad industry expertise and diverse service offerings
• Strong focus on ethical standards, sustainability, and responsible AI

Cons of Accenture:

• Large scale may lead to less personalized attention for smaller clients
• Pricing models may be less flexible for some organizations
• Complex organizational structure can sometimes slow decision-making

How Does Datavid Compare to Accenture?

Accenture brings global reach and a wide service offering, but their size means clients often deal with account managers and delivery teams instead of hands-on experts. Datavid’s model is different: every project is led by senior engineers who stay involved from start to finish. This direct approach is especially valuable for regulated industries where details matter.

For Roche’s clinical data platform, Datavid’s leadership was personally involved throughout. They worked closely with Roche’s team, making fast decisions and building a solution that met strict compliance needs. This level of engagement and expertise is hard to find in larger firms like Accenture.

Ready to Transform Your Data Strategy? Partner with Datavid

You've explored the leading options for Elasticsearch to Vector Search Modernization Services. Now it's time to see how your enterprise can move forward with confidence and clarity.

Datavid stands out with senior expertise, a track record of guaranteed delivery, and a focus on real business outcomes for large organizations. You'll benefit from solutions designed to fit your unique data landscape.

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