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DBMS > Apache Druid vs. Dolt vs. Greenplum vs. GreptimeDB

System Properties Comparison Apache Druid vs. Dolt vs. Greenplum vs. GreptimeDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolt  Xexclude from comparisonGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA MySQL compatible DBMS with Git-like versioning of data and schemaAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitedruid.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
greenplum.orggreptime.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolthub.comdocs.greenplum.orgdocs.greptime.com
DeveloperApache Software Foundation and contributorsDoltHub IncPivotal Software Inc.Greptime Inc.
Initial release2012201820052022
Current release29.0.1, April 20247.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoRust
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free, schema definition possible
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.nonoyes infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
HTTP REST
JDBC
ODBC
gRPC
HTTP API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyesPython
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
Apache DruidDoltGreenplumGreptimeDB
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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Apache DruidDoltGreenplumGreptimeDB
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