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DBMS > GreptimeDB vs. HEAVY.AI vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. SiteWhere

System Properties Comparison GreptimeDB vs. HEAVY.AI vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. SiteWhere

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareJavaScript Query Language Database, stores JavaScript objects and primitivesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
jsqldb.org (offline)azure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.greptime.comdocs.heavy.aidocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.html
DeveloperGreptime Inc.HEAVY.AI, Inc.Konrad von BackstromMicrosoftSiteWhere
Initial release20222016201820162010
Current release5.10, January 20220.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++ and CUDAC++Java
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyesyesnoyesno
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresPythonnofunctions in JavaScriptTransact SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept
More information provided by the system vendor
GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JSqlDbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhere
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» 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

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GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JSqlDbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhere
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