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DBMS > Drizzle vs. EsgynDB vs. GreptimeDB vs. HEAVY.AI vs. Microsoft Azure AI Search

System Properties Comparison Drizzle vs. EsgynDB vs. GreptimeDB vs. HEAVY.AI vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn 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 hardwareSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.esgyn.cngreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.greptime.comdocs.heavy.ailearn.microsoft.com/­en-us/­azure/­search
DeveloperDrizzle project, originally started by Brian AkerEsgynGreptime Inc.HEAVY.AI, Inc.Microsoft
Initial release20082015202220162015
Current release7.2.4, September 20125.10, January 2022V1
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, JavaRustC++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxhosted
Data schemeyesyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresPythonnono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robinSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
DrizzleEsgynDBGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI Search
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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DrizzleEsgynDBGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI Search
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