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DBMS > JaguarDB vs. Microsoft Azure Table Storage vs. Splice Machine vs. Titan

System Properties Comparison JaguarDB vs. Microsoft Azure Table Storage vs. Splice Machine vs. Titan

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSplice Machine  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Vector DBMS
Wide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tablessplicemachine.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.jaguardb.com/­support.htmlsplicemachine.com/­how-it-worksgithub.com/­thinkaurelius/­titan/­wiki
DeveloperDataJaguar, Inc.MicrosoftSplice MachineAurelius, owned by DataStax
Initial release2015201220142012
Current release3.3 July 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJavaJava
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes infoJavayes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
JaguarDBMicrosoft Azure Table StorageSplice MachineTitan
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