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DBMS > OpenEdge vs. QuestDB vs. Sphinx

System Properties Comparison OpenEdge vs. QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA high performance, low latency Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.06
Rank#74  Overall
#41  Relational DBMS
Score0.28
Rank#266  Overall
#20  Time Series DBMS
Score6.47
Rank#59  Overall
#7  Search engines
Websitewww.progress.com/­openedgequestdb.iosphinxsearch.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestquestdb.io/­docs/­introductionsphinxsearch.com/­docs
DeveloperProgress Software CorporationQuestDB LimitedSphinx Technologies Inc.
Initial release198420142001
Current releaseOpenEdge 12.2, March 20203.2.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
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.yesno
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
HTTP RESTProprietary protocol
Supported programming languagesProgress proprietary ABL (Advanced Business Language)JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4horizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlUsers and groupsno
More information provided by the system vendor
OpenEdgeQuestDBSphinx
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more

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OpenEdgeQuestDBSphinx
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