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DBMS > HugeGraph vs. NSDb vs. Spark SQL vs. TerarkDB vs. Weaviate

System Properties Comparison HugeGraph vs. NSDb vs. Spark SQL vs. TerarkDB vs. Weaviate

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMSTime Series DBMSRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
nsdb.iospark.apache.org/­sqlgithub.com/­bytedance/­terarkdbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationhugegraph.apache.org/­docsnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcweaviate.io/­developers/­weaviate
DeveloperBaiduApache Software FoundationByteDance, originally TerarkWeaviate B.V.
Initial release20182017201420162019
Current release0.93.5.0 ( 2.13), September 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaScalaC++Go
Server operating systemsLinux
macOS
Unix
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesnoyes 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.nonononono
Secondary indexesyes infoalso supports composite index and range indexall fields are automatically indexednonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsnoGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
JDBC
ODBC
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
Java
Scala
Java
Python
R
Scala
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlUsers, roles and permissionsnonoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HugeGraphNSDbSpark SQLTerarkDBWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HugeGraphNSDbSpark SQLTerarkDBWeaviate
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