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DBMS > HEAVY.AI vs. LevelDB vs. NSDb vs. Weaviate

System Properties Comparison HEAVY.AI vs. LevelDB vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeTime Series DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbnsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperHEAVY.AI, Inc.GoogleWeaviate B.V.
Initial release2016201120172019
Current release5.10, January 20221.23, February 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++Java, ScalaGo
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnonoall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDBNSDbWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDBNSDbWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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