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DBMS > GeoMesa vs. Linter vs. QuestDB vs. TigerGraph

System Properties Comparison GeoMesa vs. Linter vs. QuestDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonLinter  Xexclude from comparisonQuestDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.RDBMS for high security requirementsA high performance open source SQL database for time series dataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.geomesa.orglinter.ruquestdb.iowww.tigergraph.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlquestdb.io/­docsdocs.tigergraph.com
DeveloperCCRi and othersrelex.ruQuestDB Technology Inc
Initial release2014199020142017
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++Java (Zero-GC), C++, RustC++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesSQL with time-series extensionsSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infothrough memory mapped filesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
GeoMesaLinterQuestDBTigerGraph
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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More resources
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