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DBMS > Apache Druid vs. Apache Phoenix vs. Greenplum vs. Hazelcast vs. IRONdb

System Properties Comparison Apache Druid vs. Apache Phoenix vs. Greenplum vs. Hazelcast vs. IRONdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonIRONdb  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 dataA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic 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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value storeTime Series 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
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Websitedruid.apache.orgphoenix.apache.orggreenplum.orghazelcast.comwww.circonus.com/solutions/time-series-database/
Technical documentationdruid.apache.org/­docs/­latest/­designphoenix.apache.orgdocs.greenplum.orghazelcast.org/­imdg/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsApache Software FoundationPivotal Software Inc.HazelcastCirconus LLC.
Initial release20122014200520082017
Current release30.0.0, June 20245.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 20235.3.6, November 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows
LinuxAll OS with a Java VMLinux
Data schemeyes infoschema-less columns are supportedyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infotext, numeric, histograms
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.nonoyes infosince Version 4.2yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingyesyesSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functionsyesyes infoEvent Listeners, Executor Servicesyes, in Lua
Triggersnonoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Source-replica replicationyes infoReplicated Mapconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardRole-based access controlno

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Apache DruidApache PhoenixGreenplumHazelcastIRONdb
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