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

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

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDrizzle  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.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted in-memory data gridDistributed Time Series DBMS based on Cassandra or H2Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hazelcast.comgithub.com/­kairosdb/­kairosdbtrafodion.apache.org
Technical documentationdocs.databend.comhazelcast.org/­imdg/­docskairosdb.github.iotrafodion.apache.org/­documentation.html
DeveloperDatabend LabsDrizzle project, originally started by Brian AkerHazelcastApache Software Foundation, originally developed by HP
Initial release20212008200820132014
Current release1.0.59, April 20237.2.4, September 20125.3.6, November 20231.2.2, November 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++JavaJavaC++, Java
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyesyesschema-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 indexesnoyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL-like query languagenoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
.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 proceduresnonoyes infoEvent Listeners, Executor ServicesnoJava Stored Procedures
Triggersnono infohooks for callbacks inside the server can be used.yes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-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 integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDone 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 controlUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
DatabendDrizzleHazelcastKairosDBTrafodion
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