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DBMS > EsgynDB vs. Greenplum vs. HarperDB vs. MongoDB vs. TerarkDB

System Properties Comparison EsgynDB vs. Greenplum vs. HarperDB vs. MongoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHarperDB  Xexclude from comparisonMongoDB  Xexclude from comparisonTerarkDB  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.A distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score13.61
Rank#42  Overall
#26  Relational DBMS
Score0.77
Rank#200  Overall
#31  Document stores
Score496.50
Rank#5  Overall
#1  Document stores
Score0.05
Rank#326  Overall
#51  Key-value stores
Websitewww.esgyn.cngreenplum.orgharperdb.iowww.mongodb.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.greenplum.orgharperdb.io/­developers/­documentation/­overviewdocs.mongodb.com/­manualgithub.com/­Terark/­terarkdb/­wiki
DeveloperEsgynPivotal Software Inc.HarperDBMongoDB, IncTerark
Initial release20152005201720092016
Current release6.7.1, April 20203.1, August 20215.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++, JavaNode.jsC++C++
Server operating systemsLinuxLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesyesdynamic schemaschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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 4.2nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like data manipulation statementsRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
proprietary protocol using JSONC++ API
Java API
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
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C++
Java
Server-side scripts infoStored proceduresJava Stored ProceduresyesCustom Functions infosince release 3.1JavaScriptno
Triggersnoyesnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
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 definedMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and rolesno
More information provided by the system vendor
EsgynDBGreenplumHarperDBMongoDBTerarkDB
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
EsgynDBGreenplumHarperDBMongoDBTerarkDB
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