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DBMS > Apache Impala vs. OpenEdge vs. Prometheus vs. Riak TS vs. Sphinx

System Properties Comparison Apache Impala vs. OpenEdge vs. Prometheus vs. Riak TS vs. Sphinx

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteimpala.apache.orgwww.progress.com/­openedgeprometheus.iosphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaProgress Software CorporationOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release20131984201520152001
Current release4.1.0, June 2022OpenEdge 12.2, March 20203.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoErlangC++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlynono
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.noyesno infoImport of XML data possibleno
Secondary indexesyesyesnorestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoclose to SQL 92noyes, limitedSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCProgress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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
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-reduceyesnoErlangno
Triggersnoyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4ShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federationselectable replication factornone
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 ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers and groupsnonono

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