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DBMS > EsgynDB vs. Greenplum vs. HarperDB vs. Hazelcast vs. JanusGraph

System Properties Comparison EsgynDB vs. Greenplum vs. HarperDB vs. Hazelcast vs. JanusGraph

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHarperDB  Xexclude from comparisonHazelcast  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.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 modelRelational DBMSRelational DBMSDocument storeKey-value storeGraph DBMS
Secondary database modelsDocument 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#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitewww.esgyn.cngreenplum.orgwww.harperdb.iohazelcast.comjanusgraph.org
Technical documentationdocs.greenplum.orgdocs.harperdb.io/­docshazelcast.org/­imdg/­docsdocs.janusgraph.org
DeveloperEsgynPivotal Software Inc.HarperDBHazelcastLinux Foundation; originally developed as Titan by Aurelius
Initial release20152005201720082017
Current release7.0.0, September 20233.1, August 20215.3.6, November 20230.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaNode.jsJavaJava
Server operating systemsLinuxLinuxLinux
OS X
All OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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 4.2noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresJava Stored ProceduresyesCustom Functions infosince release 3.1yes infoEvent Listeners, Executor Servicesyes
Triggersnoyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusterShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes infothe nodes on which a table resides can be definedyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes 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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access controlUser authentification and security via Rexster Graph Server

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More resources
EsgynDBGreenplumHarperDBHazelcastJanusGraph infosuccessor of Titan
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