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DBMS > Apache Impala vs. JaguarDB vs. KairosDB vs. MaxDB vs. Riak TS

System Properties Comparison Apache Impala vs. JaguarDB vs. KairosDB vs. MaxDB vs. Riak TS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonJaguarDB  Xexclude from comparisonKairosDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopPerformant, highly scalable DBMS for AI and IoT applicationsDistributed Time Series DBMS based on Cassandra or H2A robust and reliable RDBMS optimized to run all major SAP solutionsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSKey-value store
Vector DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteimpala.apache.orgwww.jaguardb.comgithub.com/­kairosdb/­kairosdbmaxdb.sap.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.jaguardb.com/­support.htmlkairosdb.github.iomaxdb.sap.com/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataJaguar, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Open Source, formerly Basho Technologies
Initial release20132015201319842015
Current release4.1.0, June 20223.3 July 20231.2.2, November 20187.9.10.12, February 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL V3.0Open Source infoApache 2.0commercial infoLimited community edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC++C++ infothe server part. Clients available in other languagesJavaC++Erlang
Server operating systemsLinuxLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesyesnoyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesyes, limited
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
WebDAV
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
.Net
C#
Java
Perl
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factor infobased on CassandraSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
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.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountssimple password-based access controlfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaJaguarDBKairosDBMaxDB infoformerly named Adabas-DRiak TS
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