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DBMS > OpenSearch vs. QuestDB vs. SAP HANA vs. Sphinx

System Properties Comparison OpenSearch vs. QuestDB vs. SAP HANA vs. Sphinx

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Editorial information provided by DB-Engines
NameOpenSearch  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA high performance open source SQL database for time series dataIn-memory, column based data store. Available as appliance or cloud serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineTime Series DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMSRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.31
Rank#36  Overall
#4  Search engines
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score41.32
Rank#23  Overall
#16  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegithub.com/­opensearch-project
opensearch.org
questdb.iowww.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationopensearch.org/­docs/­latestquestdb.io/­docshelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperAmazon Web ServicesQuestDB Technology IncSAPSphinx Technologies Inc.
Initial release2021201420102001
Current release2.5.0, January 20232.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaJava (Zero-GC), C++, RustC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesyes infoAll search fields are automatically indexednoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnoSQLScript, Rno
Triggersyes infoby using the 'percolation' featurenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)yesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yes infothrough memory mapped filesyes
User concepts infoAccess controlyesno
More information provided by the system vendor
OpenSearchQuestDBSAP HANASphinx
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more
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