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DBMS > Apache Phoenix vs. Ehcache vs. GridGain vs. Weaviate

System Properties Comparison Apache Phoenix vs. Ehcache vs. GridGain vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEhcache  Xexclude from comparisonGridGain  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted Java cache with tiered storage optionsGridGain is an in-memory computing platform, built on Apache IgniteAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitephoenix.apache.orgwww.ehcache.orgwww.gridgain.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationwww.gridgain.com/­docs/­index.htmlweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGGridGain Systems, Inc.Weaviate B.V.
Initial release2014200920072019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 2022GridGain 8.5.11.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen 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 languageJavaJavaJava, C++, .NetGo
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonoyesno
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLGraphQL is used as query language
APIs and other access methodsJDBCJCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoSecurity Hooks for custom implementationsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixEhcacheGridGainWeaviate
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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Apache PhoenixEhcacheGridGainWeaviate
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