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DBMS > Drizzle vs. GreptimeDB vs. Hazelcast vs. KairosDB vs. Trafodion

System Properties Comparison Drizzle vs. GreptimeDB vs. Hazelcast vs. KairosDB vs. Trafodion

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonKairosDB  Xexclude from comparisonTrafodion  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.Apache Trafodion has been retired in 2021. Therefore it 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 efficiencyA widely adopted in-memory data gridDistributed Time Series DBMS based on Cassandra or H2Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitegreptime.comhazelcast.comgithub.com/­kairosdb/­kairosdbtrafodion.apache.org
Technical documentationdocs.greptime.comhazelcast.org/­imdg/­docskairosdb.github.iotrafodion.apache.org/­documentation.html
DeveloperDrizzle project, originally started by Brian AkerGreptime Inc.HazelcastApache Software Foundation, originally developed by HP
Initial release20082022200820132014
Current release7.2.4, September 20125.3.6, November 20231.2.2, November 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++RustJavaJavaC++, Java
Server operating systemsFreeBSD
Linux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyesschema-free, schema definition possibleschema-freeschema-freeyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query languagenoyes
APIs and other access methodsJDBCgRPC
HTTP API
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoPythonyes infoEvent Listeners, Executor ServicesnoJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.yes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated Mapselectable replication factor infobased on Cassandrayes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID
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.yesnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSimple rights management via user accountsRole-based access controlsimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleGreptimeDBHazelcastKairosDBTrafodion
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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More resources
DrizzleGreptimeDBHazelcastKairosDBTrafodion
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