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DBMS > Greenplum vs. GreptimeDB vs. LeanXcale vs. Oracle Berkeley DB

System Properties Comparison Greenplum vs. GreptimeDB vs. LeanXcale vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAnalytic 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 efficiencyA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitegreenplum.orggreptime.comwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.greenplum.orgdocs.greptime.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperPivotal Software Inc.Greptime Inc.LeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2005202220151994
Current release7.0.0, September 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yes infosince Version 4.2noyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
C
Java
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesPythonno
Triggersyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsno
More information provided by the system vendor
GreenplumGreptimeDBLeanXcaleOracle Berkeley DB
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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GreenplumGreptimeDBLeanXcaleOracle Berkeley DB
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