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DBMS > FatDB vs. GreptimeDB vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. Yaacomo

System Properties Comparison FatDB vs. GreptimeDB vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. Yaacomo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA multi-model DBMS and application serverA Wide Column Store for rapid development using massive semi-structured datasetsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegreptime.comwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­storage/­tablesyaacomo.com
Technical documentationdocs.greptime.comdocs.intersystems.com
DeveloperFatCloudGreptime Inc.InterSystemsMicrosoftQ2WEB GmbH
Initial release20122022199720122009
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Rust
Server operating systemsWindowsAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeschema-free, schema definition possibledepending on used data modelschema-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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesyesnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#C++
Erlang
Go
Java
JavaScript
C#
C++
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsPythonyesno
Triggersyes infovia applicationsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
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.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsSimple rights management via user accountsAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
FatDBGreptimeDBInterSystems CachéMicrosoft Azure Table StorageYaacomo
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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FatDBGreptimeDBInterSystems CachéMicrosoft Azure Table StorageYaacomo
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