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DBMS > BigchainDB vs. CrateDB vs. Graph Engine vs. Greenplum

System Properties Comparison BigchainDB vs. CrateDB vs. Graph Engine vs. Greenplum

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCrateDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed Date Store based on LuceneA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelDocument storeRelational DBMS
Search engine
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#202  Overall
#33  Document stores
Score1.12
Rank#189  Overall
#89  Relational DBMS
#13  Search engines
Score1.21
Rank#180  Overall
#16  Graph DBMS
#31  Key-value stores
Score12.51
Rank#46  Overall
#30  Relational DBMS
Websitewww.bigchaindb.comcrate.iowww.graphengine.iogreenplum.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestcrate.io/­docswww.graphengine.io/­docs/­manualdocs.greenplum.org
DeveloperCrateMicrosoftPivotal Software Inc.
Initial release2016201320102005
Current release6.7.1, April 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava.NET and C
Server operating systemsLinuxAll OS with a Java 7 (and higher) VM.NETLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes infosince Version 4.2
Secondary indexesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraintsnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
F#
Visual Basic
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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 strategynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBCrateDBGraph Engine infoformer name: TrinityGreenplum
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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BigchainDBCrateDBGraph Engine infoformer name: TrinityGreenplum
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