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Vespa vs Zvec

Vespa

vespa.ai

Zvec

zvec.org

Side by side

FigureVespaZvec
Price fromFreeFree
Free planYesYes
Free trialYes—
Open sourceYes—
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published71
Spec score · Vector Databases8.8 (#3)7.5 (#20)
IntegrationsVespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.The product site names integrations with Logseq, MyContext, ReMe, txtai, and CocoIndex.
SupportThe Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan.The documentation directs users to report issues on GitHub and lists community channels including DingTalk, WeChat, Discord, and X.
What it doesVespa is a data platform for storing, searching, and processing large structured and unstructured datasets with real-time indexing, filtering, recommendations, and personalization.Zvec is an open-source, in-process vector database for indexing and querying vectors without a server, daemon, or external infrastructure.
Who it is forVespa describes the platform for teams building AI applications where search quality, ranking, fresh real-time data, or increasing retrieval traffic are important.The maker describes Zvec for application developers and presents use cases spanning prototyping, local development, embedded and edge applications, and production systems.

Plans

Vespa

  • StartupPrice not published
  • BasicPrice not published
  • CommercialPrice not published
  • EnterprisePrice not published
  • StartupFree
  • Enterprise *$0.18 a month
  • Self ManagedPriced on request

Vespa pricing →

Zvec

  • ZvecFree

Zvec pricing →

In their own words

Vespa

Vespa is an AI search platform for online applications that use data, retrieval, ranking, machine-learning inference, and real-time serving. It supports vector and tensor search, positional text search, and queries over structured data. Ranking signals can be combined with tensor functions or machine-learned models, including ONNX and XGBoost formats; model inference can use ONNX Runtime. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can self-manage deployments, use the Vespa Kubernetes Operator, or run on Vespa Cloud. Local deployment guidance lists Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud includes encryption at rest and in transit, certificates for nodes and endpoints, and automatic operating system patching. Its trial provides $300 in credits without requiring a credit card, then stops the application when credits are used. Cloud plans have quotas, and Startup is limited to development zones. Pricing is listed from $0.05 a month, with metered resource rates.

Visit vespa.ai

Zvec

Zvec is an open-source, in-process vector database for indexing and querying vectors locally without a server or external infrastructure. It supports dense and sparse vectors, full-text search, and hybrid retrieval with structured filters. Listed index types include Flat, HNSW, IVF, and DiskANN, with RaBitQ variants also available; quantization options include FP16, INT8, INT4, RaBitQ, and PQ. Write-ahead logging provides persistence across process crashes or power failures. Multiple processes can read a collection at once, while writes are exclusive to one process. SDKs are listed for Python, Node.js, Go, Rust, Dart/Flutter, C, and C++. The README lists Linux, macOS, and Windows support, and prebuilt SDK binaries are published for Android and iOS as well. Named integrations include Logseq, MyContext, ReMe, txtai, and CocoIndex. The maker presents Zvec for application developers working on prototyping, local development, embedded and edge applications, or production systems. Its product family also includes Zvec-Grep, a local search CLI and MCP tool for code, documentation, and text-based data. It is available free under the Apache License 2.0.

Visit zvec.org