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DBMS > Apache Druid vs. Greenplum vs. IRONdb vs. Typesense

System Properties Comparison Apache Druid vs. Greenplum vs. IRONdb vs. Typesense

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonIRONdb  Xexclude from comparisonTypesense  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic 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 Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitedruid.apache.orggreenplum.orgwww.circonus.com/solutions/time-series-database/typesense.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.circonus.com/irondb/category/getting-startedtypesense.org/­docs
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Circonus LLC.
Initial release2012200520172015
Current release30.0.0, June 20247.0.0, September 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
LinuxLinuxLinux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 4.2no
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
HTTP APIRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoyesyes, in Luano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationconfigurable replication factor, datacenter awareMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno

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More resources
Apache DruidGreenplumIRONdbTypesense
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