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DBMS > Datomic vs. GBase vs. GreptimeDB vs. Hive vs. IBM Cloudant

System Properties Comparison Datomic vs. GBase vs. GreptimeDB vs. Hive vs. IBM Cloudant

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGBase  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.An open source Time Series DBMS built for increased scalability, high performance and efficiencydata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websitewww.datomic.comwww.gbase.cngreptime.comhive.apache.orgwww.ibm.com/­products/­cloudant
Technical documentationdocs.datomic.comdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudant
DeveloperCognitectGeneral Data Technology Co., Ltd.Greptime Inc.Apache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20122004202220122010
Current release1.0.6735, June 2023GBase 8a, GBase 8s, GBase 8c3.1.3, April 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial
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 languageJava, ClojureC, Java, PythonRustJavaErlang
Server operating systemsAll OS with a Java VMLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMhosted
Data schemeyesyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C#C++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsPythonyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScript
TriggersBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnoyesSimple rights management via user accountsAccess rights for users, groups and rolesAccess rights for users can be defined per database
More information provided by the system vendor
DatomicGBaseGreptimeDBHiveIBM Cloudant
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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DatomicGBaseGreptimeDBHiveIBM Cloudant
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