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DBMS > Drizzle vs. GreptimeDB vs. Heroic vs. SQream DB

System Properties Comparison Drizzle vs. GreptimeDB vs. Heroic vs. SQream DB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHeroic  Xexclude from comparisonSQream DB  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearcha GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegreptime.comgithub.com/­spotify/­heroicsqream.com
Technical documentationdocs.greptime.comspotify.github.io/­heroicdocs.sqream.com
DeveloperDrizzle project, originally started by Brian AkerGreptime Inc.SpotifySQream Technologies
Initial release2008202220142017
Current release7.2.4, September 20122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++RustJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyes
APIs and other access methodsJDBCgRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonnouser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSimple rights management via user accounts
More information provided by the system vendor
DrizzleGreptimeDBHeroicSQream DB
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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DrizzleGreptimeDBHeroicSQream DB
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