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DBMS > CrateDB vs. Postgres-XL vs. RavenDB vs. Trafodion

System Properties Comparison CrateDB vs. Postgres-XL vs. RavenDB vs. Trafodion

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Database based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitecratedb.comwww.postgres-xl.orgravendb.nettrafodion.apache.org
Technical documentationcratedb.com/­docswww.postgres-xl.org/­documentationravendb.net/­docstrafodion.apache.org/­documentation.html
DeveloperCrateHibernating RhinosApache Software Foundation, originally developed by HP
Initial release20132014 infosince 2012, originally named StormDB20102014
Current release10 R1, October 20185.4, July 20222.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license availableOpen 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 languageJavaCC#C++, Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infodistributed, parallel query executionSQL-like query language (RQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
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
ADO.NET
JDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functionsyesJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate 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
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoMVCCACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
CrateDBPostgres-XLRavenDBTrafodion
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