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DBMS > atoti vs. GreptimeDB vs. IBM Cloudant vs. PostgreSQL

System Properties Comparison atoti vs. GreptimeDB vs. IBM Cloudant vs. PostgreSQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGreptimeDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An open source Time Series DBMS built for increased scalability, high performance and efficiencyDatabase as a Service offering based on Apache CouchDBWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelObject oriented DBMSTime Series DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websiteatoti.iogreptime.comwww.ibm.com/­products/­cloudantwww.postgresql.org
Technical documentationdocs.atoti.iodocs.greptime.comcloud.ibm.com/­docs/­Cloudantwww.postgresql.org/­docs
DeveloperActiveViamGreptime Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release202220101989 info1989: Postgres, 1996: PostgreSQL
Current release16.3, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustErlangC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoyes infostandard with numerous extensions
APIs and other access methodsgRPC
HTTP API
JDBC
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonPythonView functions (Map-Reduce) in JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
atotiGreptimeDBIBM CloudantPostgreSQL
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
atotiGreptimeDBIBM CloudantPostgreSQL
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