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DBMS > Geode vs. InterSystems Caché vs. LeanXcale vs. RocksDB vs. Teradata

System Properties Comparison Geode vs. InterSystems Caché vs. LeanXcale vs. RocksDB vs. Teradata

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLeanXcale  Xexclude from comparisonRocksDB  Xexclude from comparisonTeradata  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA multi-model DBMS and application serverA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegeode.apache.orgwww.intersystems.com/­products/­cachewww.leanxcale.comrocksdb.orgwww.teradata.com
Technical documentationgeode.apache.org/­docsdocs.intersystems.comgithub.com/­facebook/­rocksdb/­wikidocs.teradata.com
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.InterSystemsLeanXcaleFacebook, Inc.Teradata
Initial release20021997201520131984
Current release1.1, February 20172018.1.4, May 20209.2.1, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen Source infoBSDcommercial
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 languageJavaC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linuxhosted
Linux
Data schemeschema-freedepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnoyes
Secondary indexesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (OQL)yesyes infothrough Apache Derbynoyes infoSQL 2016 + extensions
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
C++ API
Java API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
C
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
GeodeInterSystems CachéLeanXcaleRocksDBTeradata
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