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DBMS > Databricks vs. GreptimeDB vs. Yanza

System Properties Comparison Databricks vs. GreptimeDB vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGreptimeDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score80.31
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.16
Rank#360  Overall
#33  Time Series DBMS
Websitewww.databricks.comgreptime.comyanza.com
Technical documentationdocs.databricks.comdocs.greptime.com
DeveloperDatabricksGreptime Inc.Yanza
Initial release201320222015
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedDocker
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Fixed schemaschema-free
Typing infopredefined data types such as float or dateyesno
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP API
HTTP API
Supported programming languagesPython
R
Scala
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesPythonno
Triggersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.no
User concepts infoAccess controlno
More information provided by the system vendor
DatabricksGreptimeDBYanza
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
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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DatabricksGreptimeDBYanza
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