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DBMS > Bangdb vs. CrateDB vs. Greenplum

System Properties Comparison Bangdb vs. CrateDB vs. Greenplum

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCrateDB  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed Date Store based on LuceneAnalytic 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 store
Graph DBMS
Time Series DBMS
Relational DBMS
Search engine
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#326  Overall
#43  Document stores
#33  Graph DBMS
#30  Time Series DBMS
Score0.91
Rank#182  Overall
#87  Relational DBMS
#11  Search engines
Score13.98
Rank#42  Overall
#26  Relational DBMS
Websitebangdb.comcrate.iogreenplum.org
Technical documentationbangdb.com/­developercrate.io/­docsdocs.greenplum.org
DeveloperSachin Sinha, BangDBCratePivotal Software Inc.
Initial release201220132005
Current releaseBangDB 2.0, October 20216.7.1, April 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java
Server operating systemsLinuxAll OS with a Java 7 (and higher) VMLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonoyes infosince Version 4.2
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyes, but no triggers and constraintsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
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
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbCrateDBGreenplum
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
CrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
CrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more
CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
BangdbCrateDBGreenplum
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