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DBMS > Databend vs. Greenplum vs. Hawkular Metrics vs. LevelDB vs. RDF4J

System Properties Comparison Databend vs. Greenplum vs. Hawkular Metrics vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAnalytic 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.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.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value storeRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
greenplum.orgwww.hawkular.orggithub.com/­google/­leveldbrdf4j.org
Technical documentationdocs.databend.comdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperDatabend LabsPivotal Software Inc.Community supported by Red HatGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20212005201420112004
Current release1.0.59, April 20237.0.0, September 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC++Java
Server operating systemshosted
Linux
macOS
LinuxLinux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infosince Version 4.2nono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
HTTP RESTJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
Go
Java
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyesyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardnonono

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DatabendGreenplumHawkular MetricsLevelDBRDF4J infoformerly known as Sesame
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