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

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

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.A 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 modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gbase.cnquestdb.iowww.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationquestdb.io/­docshelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperQuestDB Technology IncSAPSphinx Technologies Inc.
Initial release201420102001
Current releaseGBase 8a2.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen 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.
Implementation languageJava (Zero-GC), C++, RustC++
Server operating systemsLinux
macOS
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-free via InfluxDB Line Protocolyesyes
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.nono
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL with time-series extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Proprietary protocol
Supported programming languagesC 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 proceduresnoSQLScript, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)yesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencyyesnone
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACIDno
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.yes infothrough memory mapped filesyes
User concepts infoAccess controlyesno
More information provided by the system vendor
GBaseQuestDBSAP HANASphinx
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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