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DBMS > InterSystems Caché vs. Lovefield vs. RethinkDB vs. Sqrrl

System Properties Comparison InterSystems Caché vs. Lovefield vs. RethinkDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonRethinkDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptDBMS for the Web with a mechanism to push updated query results to applications in realtime.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldrethinkdb.comsqrrl.com
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrethinkdb.com/­docs
DeveloperInterSystemsGoogleThe Linux Foundation infosince July 2017Amazon infooriginally Sqrrl Data, Inc.
Initial release1997201420092012
Current release2018.1.4, May 20202.1.12, February 20172.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
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
OS X
Windows
Linux
Data schemedepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnono
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Java
JavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnono
TriggersyesUsing read-only observersClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding inforange basedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and rolesnoyes infousers and table-level permissionsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
InterSystems CachéLovefieldRethinkDBSqrrl
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