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DBMS > GeoMesa vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. TDengine

System Properties Comparison GeoMesa vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. TDengine

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platform
Primary database modelSpatial DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.com
DeveloperCCRi and othersBaiduMicrosoftTDEngine, previously Taos Data
Initial release2014201820162019
Current release4.0.5, February 20240.93.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC++C
Server operating systemsLinux
macOS
Unix
hostedLinux
Windows
Data schemeyesyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnonoyesStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsTransact SQLno
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissionsyesyes
More information provided by the system vendor
GeoMesaHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
GeoMesaHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
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