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DBMS > Postgres-XL vs. Sqrrl vs. Titan vs. Trafodion

System Properties Comparison Postgres-XL vs. Sqrrl vs. Titan vs. Trafodion

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonSqrrl  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAdaptable, secure NoSQL built on Apache AccumuloTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.postgres-xl.orgsqrrl.comgithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationwww.postgres-xl.org/­documentationgithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperAmazon infooriginally Sqrrl Data, Inc.Aurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release2014 infosince 2012, originally named StormDB201220122014
Current release10 R1, October 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMozilla public licensecommercialOpen Source infoApache license, version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaC++, Java
Server operating systemsLinux
macOS
LinuxLinux
OS X
Unix
Windows
Linux
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.yes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infodistributed, parallel query executionnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoyesJava Stored Procedures
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomaking use of Hadoopyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infomaking use of Hadoopyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCAtomic updates per row, document, or graph entityACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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