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DBMS > InterSystems Caché vs. Lovefield vs. openGemini vs. Riak TS vs. Sphinx

System Properties Comparison InterSystems Caché vs. Lovefield vs. openGemini vs. Riak TS vs. Sphinx

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonopenGemini  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldwww.opengemini.org
github.com/­openGemini
sphinxsearch.com
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.opengemini.org/­guidewww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docs
DeveloperInterSystemsGoogleHuawei and openGemini communityOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release19972014202220152001
Current release2018.1.4, May 20202.1.12, February 20171.1, July 20233.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
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 languageJavaScriptGoErlangC++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringnono
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.yesnonono
Secondary indexesyesyesyesrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query languageyes, limitedSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesC#
C++
Java
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonoErlangno
TriggersyesUsing read-only observersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users, groups and rolesnoAdministrators and common users accountsnono

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More resources
InterSystems CachéLovefieldopenGeminiRiak TSSphinx
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