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DBMS > JaguarDB vs. Postgres-XL vs. RavenDB vs. Spark SQL vs. TimesTen

System Properties Comparison JaguarDB vs. Postgres-XL vs. RavenDB vs. Spark SQL vs. TimesTen

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value store
Vector DBMS
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.jaguardb.comwww.postgres-xl.orgravendb.netspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.jaguardb.com/­support.htmlwww.postgres-xl.org/­documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperDataJaguar, Inc.Hibernating RhinosApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20152014 infosince 2012, originally named StormDB201020141998
Current release3.3 July 202310 R1, October 20185.4, July 20223.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesCC#Scala
Server operating systemsLinuxLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infodistributed, parallel query executionSQL-like query language (RQL)SQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsyesnoPL/SQL
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID, Cluster-wide transaction availablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard

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More resources
JaguarDBPostgres-XLRavenDBSpark SQLTimesTen
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