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DBMS > GreptimeDB vs. Linter vs. Sadas Engine vs. Snowflake

System Properties Comparison GreptimeDB vs. Linter vs. Sadas Engine vs. Snowflake

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonLinter  Xexclude from comparisonSadas Engine  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyRDBMS for high security requirementsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsCloud-based data warehousing service for structured and semi-structured data
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegreptime.comlinter.ruwww.sadasengine.comwww.snowflake.com
Technical documentationdocs.greptime.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.snowflake.net/­manuals/­index.html
DeveloperGreptime Inc.relex.ruSADAS s.r.l.Snowflake Computing Inc.
Initial release2022199020062014
Current release8.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
Linux
Windows
hosted
Data schemeschema-free, schema definition possibleyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
CLI Client
JDBC
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonyes infoproprietary syntax with the possibility to convert from PL/SQLnouser defined functions
Triggersyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
GreptimeDBLinterSadas EngineSnowflake
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...
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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
GreptimeDBLinterSadas EngineSnowflake
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