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DBMS > Apache Impala vs. BigObject vs. Ingres vs. Kdb vs. SiriDB

System Properties Comparison Apache Impala vs. BigObject vs. Ingres vs. Kdb vs. SiriDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigObject  Xexclude from comparisonIngres  Xexclude from comparisonKdb  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic DBMS for real-time computations and queriesWell established RDBMSHigh performance Time Series DBMSOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteimpala.apache.orgbigobject.iowww.actian.com/­databases/­ingreskx.comsiridb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bigobject.iodocs.actian.com/­ingrescode.kx.comdocs.siridb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBigObject, Inc.Actian CorporationKx Systems, a division of First Derivatives plcCesbit
Initial release201320151974 infooriginally developed at University Berkely in early 1970s2000 infokdb was released 2000, kdb+ in 20032017
Current release4.1.0, June 202211.2, May 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercialcommercial infofree 32-bit versionOpen 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++CqC
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoNumeric data
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.nonono infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesyesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyesSQL-like query language (q)no
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuayesuser defined functionsno
Triggersnonoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneIngres ReplicatorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infoMVCCyesyes
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.noyesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardrights management via user accountssimple rights management via user accounts
More information provided by the system vendor
Apache ImpalaBigObjectIngresKdbSiriDB
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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More resources
Apache ImpalaBigObjectIngresKdbSiriDB
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