Alternatives to Actian Vector

Compare Actian Vector alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Actian Vector in 2026. Compare features, ratings, user reviews, pricing, and more from Actian Vector competitors and alternatives in order to make an informed decision for your business.

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    Pinecone

    Pinecone

    Pinecone

    The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.
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    Azure AI Search
    Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
    Starting Price: $0.11 per hour
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    Zilliz Cloud
    Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. Zilliz is a cost-effective way to build similarity search, recommender systems, and anomaly detection into applications to keep that competitive edge.
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    Qdrant

    Qdrant

    Qdrant

    Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values.
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    Actian Ingres
    Ultra-reliable SQL-standard transactional database with X100 operational analytics. Actian Ingres has long been known as an ultra-reliable enterprise transactional database. Today Actian Ingres is a hybrid transactional/analytical processing database with record-breaking performance. Ingres supports both row-based and columnar storage formats using its ultra-reliable enterprise transactional database, and Vector’s X100 analytics engine. This combination allows organizations to perform transaction processing and operational analytics easily and efficiently within a single database. The most trusted and time-tested transactional database with a low total cost of ownership, 24/7 global support, and industry-leading customer satisfaction. It has a proven track record, with thousands of enterprises running billions of transactions over decades of deployment, upgrades, and migrations.
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    Actian X

    Actian X

    Actian

    Actian X transactional database. Enterprise Grade Hybrid Database for Next Generation Operational Analytics. Actian X combines a record breaking analytic engine with rock solid OLTP to enable enterprise applications with both OLTP and analytic features. Low TCO, ultra stable enterprise RDBMS with 24×7 global support and industry leading customer satisfaction rating. Connect Actian X and Ingres applications to the rest of the enterprise with an end-to-end solution for designing, deploying and managing integration. Actian X is a combination of industry-leading Ingres transactional and Vector analytic databases, world class integration and a robust monitoring tool. Actian X runs business critical systems for Fortune 100 companies and government agencies and has industry leading customer satisfaction ratings.
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    Actian Zen
    Actian Zen is an embedded, high-performance, and low-maintenance database management system designed for edge applications, mobile devices, and IoT environments. It offers a seamless integration of SQL and NoSQL data models, providing flexibility for developers working with structured and unstructured data. Actian Zen is known for its small footprint, scalability, and high reliability, making it ideal for resource-constrained environments where consistent performance and minimal administrative overhead are essential. With built-in security features and a self-tuning architecture, it supports real-time data processing and analytics without the need for constant monitoring or maintenance. Actian Zen is widely used in industries like healthcare, retail, and manufacturing, where edge computing and distributed data environments are critical for business operations.
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    Actian Avalanche
    Actian Avalanche is a fully managed hybrid cloud data warehouse service designed from the ground up to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a fraction of the cost of alternative solutions. It is a true hybrid platform that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling you to migrate or offload applications and data to the cloud at your own pace. Actian Avalanche delivers the best price-performance in the industry outof-the-box without DBA tuning and optimization techniques. For the same cost as alternative solutions, you can benefit from substantially better performance or chose the same performance for significantly lower cost. For example, Avalanche provides up to 6x the price-performance advantage over Snowflake as measured by GigaOm’s TPC-H industry standard benchmark and even more against many of the appliance vendors.
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    Hydra

    Hydra

    Hydra

    Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes. Hydra parallelizes and vectorizes aggregates (COUNT, SUM, AVG) to deliver the speed you’ve always wanted on Postgres. Boost performance at every size! Set up Hydra in 5 minutes without changing your syntax, tools, data model, or extensions. Use Hydra Cloud for fully managed operations and smooth sailing. Different industries have different needs. Get better analytics with powerful Postgres extensions, custom functions, and take control. Built by you, for you. Hydra is the fastest Postgres in the market for analytics. Boost performance with columnar storage, vectorization, and query parallelization.
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    Actian DataConnect
    Actian DataConnect is a versatile hybrid integration solution that empowers anyone to integrate anything, anywhere, anytime. DataConnect enables quick and easy design, deployment, and management across on-premise, cloud, and/or hybrid environments. With its emphasis on reuse, adaptability and self -service integration, DataConnect enables rapid onboarding and delivers rapid time to value. Actian’s patented UniversalConnect™ technology is a flexible, intelligent agent framework allows you to connect to virtually any data source, format, location, using any protocol. Intuitive and codeless user interface allows anyone to design, configure and manage, repair integrations in real-time. UniversalConnect™ patented technology enables you to quickly connect to virtually any data source, format, location, protocol, any cloud or SaaS application. Allows you to deploy your integrations anywhere you want -on-premise, in the cloud, in hybrid environment , VPC, BYOL or embedded in SaaS applications.
    Starting Price: $15,000 per year
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    Vectorize

    Vectorize

    Vectorize

    Vectorize is a platform designed to transform unstructured data into optimized vector search indexes, facilitating retrieval-augmented generation pipelines. It enables users to import documents or connect to external knowledge management systems, allowing Vectorize to extract natural language suitable for LLMs. The platform evaluates multiple chunking and embedding strategies in parallel, providing recommendations or allowing users to choose their preferred methods. Once a vector configuration is selected, Vectorize deploys it into a real-time vector pipeline that automatically updates with any data changes, ensuring accurate search results. The platform offers connectors to various knowledge repositories, collaboration platforms, and CRMs, enabling seamless integration of data into generative AI applications. Additionally, Vectorize supports the creation and updating of vector indexes in preferred vector databases.
    Starting Price: $0.57 per hour
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    Weaviate

    Weaviate

    Weaviate

    Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects. Whether you bring your own vectors or use one of the vectorization modules, you can index billions of data objects to search through. Combine multiple search techniques, such as keyword-based and vector search, to provide state-of-the-art search experiences. Improve your search results by piping them through LLM models like GPT-3 to create next-gen search experiences. Beyond search, Weaviate's next-gen vector database can power a wide range of innovative apps. Perform lightning-fast pure vector similarity search over raw vectors or data objects, even with filters. Combine keyword-based search with vector search techniques for state-of-the-art results. Use any generative model in combination with your data, for example to do Q&A over your dataset.
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    Milvus

    Milvus

    Zilliz

    Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.
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    Astra DB

    Astra DB

    DataStax

    Astra DB from DataStax is vector database for developers that need to get accurate Generative AI applications into production, quickly and efficiently. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management and SAML SSO secure account accessibility. You can deploy on AWS, GCP, or Azure while still maintaining open-source Cassandra compatibility.
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    Kinetica

    Kinetica

    Kinetica

    A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.
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    MyScale

    MyScale

    MyScale

    MyScale is an innovative AI database that seamlessly integrates vector search with SQL analytics, delivering a comprehensive, fully managed, and high-performance solution. Key Features: - Superior Data Capacity and Performance: Each MyScale pod supports 5 million 768-dimensional data points with exceptional accuracy, enabling over 150 queries per second (QPS). - Rapid Data Ingestion: Import up to 5 million data points in under 30 minutes, reducing waiting time and enabling faster utilization of your vector data. - Flexible Indexing: MyScale allows you to create multiple tables with unique vector indexes, efficiently managing diverse vector data within a single cluster. - Effortless Data Import and Backup: Seamlessly import/export data from/to S3 or other compatible storage systems, ensuring smooth data management and backup processes. With MyScale, unleash the power of advanced AI database capabilities for efficient and effective data analysis.
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    LanceDB

    LanceDB

    LanceDB

    LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.
    Starting Price: $16.03 per month
  • 18
    Cloaked AI

    Cloaked AI

    IronCore Labs

    Cloaked AI protects sensitive AI data by encrypting it, but keeping it usable. Vector embeddings in vector databases can be encrypted without losing functionality such that only someone with the proper key can search the vectors. It prevents inversion attacks and other AI attacks on RAG systems, facial recognition systems, and more.
    Starting Price: $599/month
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    RedVector LMS

    RedVector LMS

    Vector Solutions

    RedVector, a Vector Solutions brand, is the leading provider of online education and training for a wide range of industries including architecture, engineering, construction, industrial, facilities management and IT and security. Technology solutions include a state-of-the-art learning management system, incident tracking software, license and credential management tools, competency assessments and much more. RedVector LMS offers an all-in-one learning and talent management system designed to meet the needs and challenges of today’s modern learners. Combined with RedVector’s best-in-class training content, this platform gives organizations a robust solution for managing safety, compliance, licenses/credentials and much more. The company brand you know as RedVector is also Vector Solutions. Vector Solutions is the parent company that offers AEC education and software to businesses, while RedVector continues to offer AEC education to individuals.
  • 20
    Cloudflare Vectorize
    Begin building for free in minutes. Vectorize enables fast & cost-effective vector storage to power your search & AI Retrieval Augmented Generation (RAG) applications. Avoid tool sprawl & reduce total cost of ownership, Vectorize seamlessly integrates with Cloudflare’s AI developer platform and AI gateway for centralized development, monitoring & control of AI applications on a global scale. Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with Cloudflare Workers AI. Vectorize makes querying embeddings, representations of values or objects like text, images, and audio that are designed to be consumed by machine learning models and semantic search algorithms, faster, easier, and more affordable. Search, similarity, recommendation, classification & anomaly detection based on your own data. Improved results & faster search. String, number & boolean types are supported.
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    SuperDuperDB

    SuperDuperDB

    SuperDuperDB

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands.
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    Exasol

    Exasol

    Exasol

    With an in-memory, columnar database and MPP architecture, you can query billions of rows in seconds. Queries are distributed across all nodes in a cluster, providing linear scalability for more users and advanced analytics. MPP, in-memory, and columnar storage add up to the fastest database built for data analytics. With SaaS, cloud, on premises and hybrid deployment options you can analyze data wherever it lives. Automatic query tuning reduces maintenance and overhead. Seamless integrations and performance efficiency gets you more power at a fraction of normal infrastructure costs. Smart, in-memory query processing allowed this social networking company to boost performance, processing 10B data sets a year. A single data repository and speed engine to accelerate critical analytics, delivering improved patient outcome and bottom line.
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    SciPhi

    SciPhi

    SciPhi

    Intuitively build your RAG system with fewer abstractions compared to solutions like LangChain. Choose from a wide range of hosted and remote providers for vector databases, datasets, Large Language Models (LLMs), application integrations, and more. Use SciPhi to version control your system with Git and deploy from anywhere. The platform provided by SciPhi is used internally to manage and deploy a semantic search engine with over 1 billion embedded passages. The team at SciPhi will assist in embedding and indexing your initial dataset in a vector database. The vector database is then integrated into your SciPhi workspace, along with your selected LLM provider.
    Starting Price: $249 per month
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    Amazon S3 Vectors
    Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS).
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    VectorGrove

    VectorGrove

    VectorGrove

    Vector files are scalable graphic files. These files can be resized indefinitely without loss of quality. That makes these files very handy when working with graphic design. Vector graphics are based on images made up of vectors (also called paths, or strokes) which lead through locations called control points. In this way the vector file is a mathematical description of how the image should look. We sell both EPS and SVG vector files. All Creative Vectors at this site have a Royalty Free license. This license grants you permission to use the vector without restriction to size, circulation, media and the like. The license covers most uses our customers have. The same vector can be a part of an advertising or social media campaign, your web design, print-run, and your presentation. You can use the vector for as long as you want. Royalty Free vectors are an affordable solution without any extra costs added. You can read more about our Standard license here.
    Starting Price: $39 per 50 credits
  • 26
    Couchbase

    Couchbase

    Couchbase

    Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.
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    Neum AI

    Neum AI

    Neum AI

    No one wants their AI to respond with out-of-date information to a customer. ‍Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.
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    Vector

    Vector

    Advanced Supply Chain Group

    ASCG’s award-winning modular WMS system ‘Vector’ has been developed with the customer in mind, delivering increased productivity, real time stock visibility, and exception management tools. Vector’s reporting functionality reduces manual administration, improves accuracy, and through the provision of business intelligence enables our customers to make informed business decisions.
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    Rebuff AI

    Rebuff AI

    Rebuff AI

    Store embeddings of previous attacks in a vector database to recognize and prevent similar attacks in the future. Use a dedicated LLM to analyze incoming prompts and identify potential attacks. Add canary tokens to prompts to detect leakages, allowing the framework to store embeddings about the incoming prompt in the vector database and prevent future attacks. Filter out potentially malicious input before it reaches the LLM.
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    PlusVector

    PlusVector

    PlusVector

    It allows you to create scalable vector graphics (SVGs) from simple prompts, providing high-quality visuals that are resolution-independent and perfect for both web and print media. PlusVector utilizes advanced AI algorithms to interpret your prompts and generate detailed, crisp vector images. Each vector is crafted to maintain clarity at any size, ensuring your graphics look great on any platform. Graphics generated by PlusVector can be used for both personal and commercial projects. We provide a flexible licensing model to suit your needs, whether you're an individual designer or a large enterprise. PlusVector supports exporting in SVG and PNG formats. You can select your preferred format upon export to ensure compatibility with your project requirements. PlusVector offers easy-to-use editing tools that allow you to tweak and customize vectors to your liking. Adjust colors, shapes, and sizes directly within our platform before downloading.
    Starting Price: $20 per month
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    Vector by Datadog
    Collect, transform, and route all your logs and metrics with one simple tool. Built in Rust, Vector is blistering fast, memory efficient, and designed to handle the most demanding workloads. Vector strives to be the only tool you need to get observability data from A to B, deploying as a daemon, sidecar, or aggregator. Vector supports logs and metrics, making it easy to collect and process all your observability data. Vector doesn’t favor any specific vendor platforms and fosters a fair, open ecosystem with your best interests in mind. Lock-in free and future proof. Vector’s highly configurable transforms give you the full power of programmable runtimes. Handle complex use cases without limitation. Guarantees matter, and Vector is clear on which guarantees it provides, helping you make the appropriate trade-offs for your use case.
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    vectorizer.kiwi

    vectorizer.kiwi

    vectorizer.kiwi

    vectorizer.kiwi is committed to providing free, efficient, and easy-to-use image vectorization tools. Our goal is to democratize access to high-quality vectorization services, making it available to everyone without any cost.
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    ParadeDB

    ParadeDB

    ParadeDB

    ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries.
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    KDB.AI

    KDB.AI

    KX Systems

    KDB.AI is a powerful knowledge-based vector database and search engine that allows developers to build scalable, reliable and real-time applications by providing advanced search, recommendation and personalization for AI applications. Vector databases are a new wave of data management designed for generative AI, IoT and time-series applications. Here's why they matter, what makes them different, how they work, the new use cases they're designed for, and how to get started.
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    GloVe

    GloVe

    Stanford NLP

    GloVe (Global Vectors for Word Representation) is an unsupervised learning algorithm developed by the Stanford NLP Group to obtain vector representations for words. It constructs word embeddings by analyzing global word-word co-occurrence statistics from a given corpus, resulting in vector spaces where the geometric relationships reflect semantic similarities and differences among words. A notable feature of GloVe is its ability to capture linear substructures within the word vector space, enabling vector arithmetic to express relationships. The model is trained on the non-zero entries of a global word-word co-occurrence matrix, which records how frequently pairs of words appear together in a corpus. This approach efficiently leverages statistical information by focusing on significant co-occurrences, leading to meaningful word representations. Pre-trained word vectors are available for various corpora, including Wikipedia 2014.
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    Vector LMS and Training

    Vector LMS and Training

    Vector Solutions

    Vector Solutions offers industry-specific, cost-effective eLearning solutions that help our clients alleviate the challenges of onboarding, upskilling, and retaining their workforce. Whether seeking to fulfill continuing education requirements, manage license requirements, or provide career pathing for your workforce, Vector Solutions has world-class and award-winning content and LMS to help you get the job done. Choose from our large selection of modern, interactive, mobile-ready courses that meet your team’s learning and compliance priorities. The Vector Learning Management System (LMS) is a modern learning management system that molds to specific industry needs and functions. This training system combines unique features and functionalities to streamline assigning, tracking and reporting on course completions. With the Vector LMS, ensure your workforce obtains critical job knowledge, remains compliant and stays safe.
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    Raijin

    Raijin

    RAIJINDB

    In order to deal with sparse data, the Raijin Database uses a flat JSON representation for the data records. The Raijin Database supports SQL as its primary query language while lifting some of SQL's limitations. Data compression not only saves disk space but provides a performance boost with modern CPUs. Most NoSQL solutions are inefficient at or totally lack support for analytical queries. Raijin DB supports group by and aggregations using standard SQL syntax. Vectorized execution and cache-friendly algorithms allow large amounts of data to be operated on. Backed by optimized SIMD instructions (SSE2/AVX2) and a modern compressed hybrid columnar storage layer it ensures that your CPUs are not wasting cycles. This gives unparalleled data-crunching capabilities an order of magnitude faster compared to other solutions written in higher level or even interpreted languages which are inefficient at processing large amounts of data.
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    Scan2CAD

    Scan2CAD

    Scan2CAD

    Scan2CAD is conversion software that enables users to convert designs for CAD. Stop manually tracing or outsourcing redrawing. Scan2CAD repeatedly saves days for companies converting designs. We've spent the last 20 years developing the most accurate automatic raster to vector conversion for CAD. Scan2CAD is not only a raster to vector solution. Convert your vector files such as PDFs for CAD. Convert any popular file-type such as images and PDFs to industry standard file-types such as DXF and DWG. Edit your designs with Scan2CAD's Drawing and Editing tools. Each tool is designed for absolute accuracy. With Scan2CAD you have the flexibility to edit your raster and vector designs within the same application.
    Starting Price: $49 per month
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    Databend

    Databend

    Databend

    Databend is a modern, cloud-native data warehouse built to deliver high-performance, cost-efficient analytics for large-scale data processing. It is designed with an elastic architecture that scales dynamically to meet the demands of different workloads, ensuring efficient resource utilization and lower operational costs. Written in Rust, Databend offers exceptional performance through features like vectorized query execution and columnar storage, which optimize data retrieval and processing speeds. Its cloud-first design enables seamless integration with cloud platforms, and it emphasizes reliability, data consistency, and fault tolerance. Databend is an open source solution, making it a flexible and accessible choice for data teams looking to handle big data analytics in the cloud.
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    txtai

    txtai

    NeuML

    txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.
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    ZeusDB

    ZeusDB

    ZeusDB

    ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration.
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    Turso

    Turso

    Turso

    Turso is a globally distributed, SQLite-compatible database service designed to provide low-latency data access across various platforms, including online, offline, and on-device environments. Built atop libSQL, an open-source fork of SQLite, Turso enables developers to deploy databases close to their users, enhancing application performance. It supports seamless integration with multiple frameworks, languages, and infrastructure providers, facilitating efficient data management for applications such as personalized large language models and AI agents. Turso offers features like unlimited databases, instant rollback with branching, and native vector search at scale, allowing for efficient parallel vector searches across users, instances, or contexts using SQL database integration. The platform emphasizes security with encryption at rest and in transit and provides an API-first approach for programmatic database management.
    Starting Price: $8.25 per month
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    Asimov

    Asimov

    Asimov

    Asimov is a foundational AI-search and vector-search platform built for developers to upload content sources (documents, logs, files, etc.), auto-chunk and embed them, and expose them via a single API to power semantic search, filtering, and relevance for AI agents or applications. It removes the burden of managing separate vector-databases, embedding pipelines, or re-ranking systems by handling ingestion, metadata parameterization, usage tracking, and retrieval logic within a unified architecture. With support for adding content via a REST API and performing semantic search queries with custom filtering parameters, Asimov enables teams to build “search-across-everything” functionality with minimal infrastructure. It is designed to handle metadata, automatic chunking, embedding, and storage (e.g., into MongoDB) and provides developer-friendly tools, including a dashboard, usage analytics, and seamless integration.
    Starting Price: $20 per month
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    Synfig Studio
    Synfig Studio is a free and open-source 2D animation software, designed as a powerful industrial-strength solution for creating film-quality animation using a vector and bitmap artwork. It eliminates the need to create frame-by-frame animation, allowing you to produce 2D animation of a higher quality with fewer people and resources. Transform any vector shape into another! Synfig gives you powerful tools for full control of your vector artwork. Just set the key positions and the intermediate frames will be calculated automatically. Synfig provides more than 50 layers to create illustrations and animations of any complexity. Choose from several types of layers: geometry, gradients, filters, distortions, transformations, fractals and others. The full-featured bone system allows you to create cutout animations using bitmap images or control your vector artwork.
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    Faiss

    Faiss

    Meta

    Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.
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    VectorUbi

    VectorUbi

    VectorUbi

    VectorUbi is an AI-powered vector illustration generator that helps content creators, developers, and marketers create professional-quality illustrations in seconds. Key Features: - Lightning-fast generation: Create an illustration in less than 5 seconds. - Consistent styles: Maintain a cohesive visual language across projects. - Customizable: Download in SVG format to easily tweak colors, shapes, and compositions in tools like Adobe Illustrator or Figma. - Action-ready visuals: Generate characters performing any action or scene you need, tailored to your description. - Flexible pricing: Affordable, quota-based plans with no expiration dates. Why VectorUbi? I know the frustration of finding the perfect illustration but missing key details or spending hours customizing one from scratch. With VectorUbi, you get instant illustrations that are seamlessly adaptable to your brand, enabling faster, more creative workflows.
    Starting Price: $9/175 illustrations
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    Vector Ink

    Vector Ink

    Vector Ink

    Vector Ink stands out in the vector graphics domain, available on web and Android, with a responsive UI and cloud functionality for seamless transitions across devices. It introduces the Path Builder Tool for crafting complex shapes with ease (Comparable to Illustrators Shape Builder Tool), a Draw Tool with a stabilizer for flawless lines, and the innovative Virtual Stylus, enabling precision without a physical pen. Users are greeted with auto-generated, customizable color palettes and simple image tracing to convert photos to vector silhouettes. It supports SVG, PNG, and JPG formats for both import and export, ensuring flexibility. Essential tools like the Pen, Boolean operations, and advanced layering are included, making it a versatile choice for designers of every skill level. With its user-friendly approach and innovative features, Vector Ink is poised to revolutionize vector graphic design.
    Starting Price: $9.99/month/user
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    NeuVector
    NeuVector covers the entire CI/CD pipeline with complete vulnerability management and attack blocking in production with our patented container firewall. NeuVector has you covered with PCI-ready container security. Meet requirements with less time and less work. NeuVector protects your data and IP in public and private cloud environments. Continuously scan throughout the container lifecycle. Remove security roadblocks. Bake in security policies at the start. Comprehensive vulnerability management to establish your risk profile and the only patented container firewall for immediate protection from zero days, known, and unknown threats. Essential for PCI and other mandates, NeuVector creates a virtual wall to keep personal and private information securely isolated on your network. NeuVector is the only kubernetes-native container security platform that delivers complete container security.
    Starting Price: 1200/node/yr
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    Adobe Illustrator Draw
    Create beautiful free-form vector designs on your mobile device with Illustrator Draw, the app that lets you turn your ideas into production-quality artwork wherever inspiration strikes. Draw puts your favorite vector drawing tools and features into a simple, modern interface so it’s easy to turn any idea or inspiration into a gorgeous design. You can even launch Adobe Capture from within the app, create a new shape, and have it immediately appear on your Draw canvas. And because Draw is part of the Adobe Illustrator family, you can send your designs directly to Illustrator to refine on your desktop. Choose from five built-in vector brushes. Customize your toolbar to include just the brushes you like, and draw with up to 10 drawing layers and a photo layer. Send drawings to your desktop and edit them as vector paths in Illustrator, or use them for reference and incorporate them into other designs in Photoshop and Illustrator.
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    ClearVector

    ClearVector

    ClearVector

    ClearVector is an identity-driven security platform designed to provide real-time detection, investigation, and containment of threats across cloud-native environments. It offers instant notifications of risky activity with the ability to stop and isolate incidents with a single click, enabling rapid decision-making and accountability. ClearVector allows users to investigate incidents by identifying who made changes and why, applying existing incident response knowledge to AWS or GCP environments. ClearVector extends its identity-driven security framework into AWS S3 buckets through its bucket intelligence capability, offering real-time identity attribution for all bucket operations, detailed metrics, and rapid detection of suspicious activities. It also supports deployment directly within AWS environments via ClearVector Private SaaS, ensuring complete data isolation and compliance with data sovereignty requirements.
    Starting Price: $500 per month