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DBMS > CouchDB vs. Greenplum vs. Hawkular Metrics vs. InfinityDB vs. Spark SQL

System Properties Comparison CouchDB vs. Greenplum vs. Hawkular Metrics vs. InfinityDB vs. Spark SQL

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInfinityDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Analytic 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Java embedded Key-Value Store which extends the Java Map interfaceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitecouchdb.apache.orggreenplum.orgwww.hawkular.orgboilerbay.comspark.apache.org/­sql
Technical documentationdocs.couchdb.org/­en/­stabledocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guideboilerbay.com/­infinitydb/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerPivotal Software Inc.Community supported by Red HatBoiler Bay Inc.Apache Software Foundation
Initial release20052005201420022014
Current release3.3.3, December 20237.0.0, September 20234.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0commercialOpen 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 languageErlangJavaJavaScala
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 4.2nonono
Secondary indexesyes infovia viewsyesnono infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoyesnonoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
HTTP RESTAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
Java
Perl
Python
R
Go
Java
Python
Ruby
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyesnonono
Triggersyesyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding infobased on Cassandranoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnonono

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GreenplumHawkular MetricsInfinityDBSpark SQL
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