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DBMS > Bangdb vs. Greenplum vs. Hazelcast vs. JanusGraph

System Properties Comparison Bangdb vs. Greenplum vs. Hazelcast vs. JanusGraph

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAnalytic 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.A widely adopted in-memory data gridA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitebangdb.comgreenplum.orghazelcast.comjanusgraph.org
Technical documentationdocs.bangdb.comdocs.greenplum.orghazelcast.org/­imdg/­docsdocs.janusgraph.org
DeveloperSachin Sinha, BangDBPivotal Software Inc.HazelcastLinux Foundation; originally developed as Titan by Aurelius
Initial release2012200520082017
Current releaseBangDB 2.0, October 20217.0.0, September 20235.3.6, November 20230.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses 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 languageC, C++JavaJava
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 infosince Version 4.2yes infothe object must implement a serialization strategyno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Java
Python
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesyes
Triggersyes, Notifications (with Streaming only)yesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes 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.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardRole-based access controlUser authentification and security via Rexster Graph Server

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More resources
BangdbGreenplumHazelcastJanusGraph infosuccessor of Titan
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