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DBMS > GeoMesa vs. GreptimeDB vs. Microsoft Azure Synapse Analytics vs. TypeDB

System Properties Comparison GeoMesa vs. GreptimeDB vs. Microsoft Azure Synapse Analytics vs. TypeDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An open source Time Series DBMS built for increased scalability, high performance and efficiencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelSpatial DBMSTime Series DBMSRelational DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websitewww.geomesa.orggreptime.comazure.microsoft.com/­services/­synapse-analyticstypedb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greptime.comdocs.microsoft.com/­azure/­synapse-analyticstypedb.com/­docs
DeveloperCCRi and othersGreptime Inc.MicrosoftVaticle
Initial release2014202220162016
Current release5.0.0, May 20242.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRustC++Java
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
Java
PHP
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoPythonTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding, horizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infosubstituted by the relationship feature
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 layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageSimple rights management via user accountsyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GeoMesaGreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named Grakn
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
GeoMesaGreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named Grakn
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