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DBMS > Apache Impala vs. IBM Db2 Event Store vs. OpenQM vs. Sphinx

System Properties Comparison Apache Impala vs. IBM Db2 Event Store vs. OpenQM vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesQpenQM is a high-performance, self-tuning, multi-value DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Multivalue DBMSSearch engine
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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteimpala.apache.orgwww.ibm.com/­products/­db2-event-storewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-storesphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMRocket Software, originally Martin PhillipsSphinx Technologies Inc.
Initial release2013201719932001
Current release4.1.0, June 20222.03.4-123.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimenoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic
C
Java
Objective C
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelno

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More resources
Apache ImpalaIBM Db2 Event StoreOpenQM infoalso called QMSphinx
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