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DBMS > Apache Impala vs. Drizzle vs. IRONdb vs. RethinkDB vs. XTDB

System Properties Comparison Apache Impala vs. Drizzle vs. IRONdb vs. RethinkDB vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonIRONdb  Xexclude from comparisonRethinkDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDBMS for the Web with a mechanism to push updated query results to applications in realtime.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/rethinkdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-startedrethinkdb.com/­docswww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerCirconus LLC.The Linux Foundation infosince July 2017Juxt Ltd.
Initial release20132008201720092019
Current release4.1.0, June 20227.2.4, September 2012V0.10.20, January 20182.4.1, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C++Clojure
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infostring, binary, float, bool, date, geometryyes, extensible-data-notation format
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsSQL-like query language (Circonus Analytics Query Language: CAQL)nolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBCHTTP APIHTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in Luano
Triggersnono infohooks for callbacks inside the server can be used.noClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyes infousers and table-level permissions

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More resources
Apache ImpalaDrizzleIRONdbRethinkDBXTDB infoformerly named Crux
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