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DBMS > Greenplum vs. LevelDB vs. RDF4J vs. TimescaleDB vs. YugabyteDB

System Properties Comparison Greenplum vs. LevelDB vs. RDF4J vs. TimescaleDB vs. YugabyteDB

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYugabyteDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSKey-value storeRDF storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.85
Rank#51  Overall
#30  Relational DBMS
Score2.26
Rank#111  Overall
#18  Key-value stores
Score0.82
Rank#208  Overall
#7  RDF stores
Score3.68
Rank#74  Overall
#5  Time Series DBMS
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websitegreenplum.orggithub.com/­google/­leveldbrdf4j.orgwww.timescale.comwww.yugabyte.com
Technical documentationdocs.greenplum.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationdocs.timescale.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPivotal Software Inc.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TimescaleYugabyte Inc.
Initial release20052011200420172017
Current release7.0.0, September 20231.23, February 20212.15.0, May 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC and C++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeyes infoRDF Schemasyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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 4.2noyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyes infofull PostgreSQL SQL syntaxyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
Java
Perl
Python
R
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infosql, plpgsql, C
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes, across time and space (hash partitioning) attributesHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneSource-replica replication with hot standby and reads on replicas infoBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standardyes

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More resources
GreenplumLevelDBRDF4J infoformerly known as SesameTimescaleDBYugabyteDB
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