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DBMS > Ehcache vs. Infobright vs. Microsoft Azure Table Storage vs. Weaviate

System Properties Comparison Ehcache vs. Infobright vs. Microsoft Azure Table Storage vs. Weaviate

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA Wide Column Store for rapid development using massive semi-structured datasetsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.ehcache.orgignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.ehcache.org/­documentationweaviate.io/­developers/­weaviate
DeveloperTerracotta Inc, owned by Software AGIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftWeaviate B.V.
Initial release2009200520122019
Current release3.10.0, March 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCGo
Server operating systemsAll OS with a Java VMLinux
Windows
hosted
Data schemeschema-freeyesschema-freeyes, 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.nononono
Secondary indexesnono infoKnowledge Grid Technology used insteadnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoGraphQL is used as query language
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights based on private key authentication or shared access signaturesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EhcacheInfobrightMicrosoft Azure Table StorageWeaviate
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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EhcacheInfobrightMicrosoft Azure Table StorageWeaviate
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