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DBMS > Apache Impala vs. Apache IoTDB vs. Kdb vs. SAP Adaptive Server

System Properties Comparison Apache Impala vs. Apache IoTDB vs. Kdb vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKdb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh performance Time Series DBMSThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score37.12
Rank#25  Overall
#17  Relational DBMS
Websiteimpala.apache.orgiotdb.apache.orgkx.comwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcode.kx.comhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationKx Systems, a division of First Derivatives plcSAP, Sybase
Initial release201320182000 infokdb was released 2000, kdb+ in 20031987
Current release4.1.0, June 20221.1.0, April 20233.6, May 201816.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaqC and C++
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (q)yes
APIs and other access methodsJDBC
ODBC
JDBC
Native API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functionsJava and Transact-SQL
Triggersnoyesyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparkno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaApache IoTDBKdbSAP Adaptive Server infoformer name: Sybase ASE
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Apache ImpalaApache IoTDBKdbSAP Adaptive Server infoformer name: Sybase ASE
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