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DBMS > Badger vs. EDB Postgres vs. Google Cloud Bigtable vs. Graphite vs. RDF4J

System Properties Comparison Badger vs. EDB Postgres vs. Google Cloud Bigtable vs. Graphite vs. RDF4J

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Time Series DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#314  Overall
#45  Key-value stores
Score1.71
Rank#135  Overall
#61  Relational DBMS
Score2.93
Rank#90  Overall
#14  Key-value stores
#8  Wide column stores
Score4.91
Rank#64  Overall
#4  Time Series DBMS
Score0.82
Rank#208  Overall
#7  RDF stores
Websitegithub.com/­dgraph-io/­badgerwww.enterprisedb.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webrdf4j.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.enterprisedb.com/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.iordf4j.org/­documentation
DeveloperDGraph LabsEnterpriseDBGoogleChris DavisSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172005201520062004
Current release14, December 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBSD for PostgreSQL-componentscommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCPythonJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
hostedLinux
Unix
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesnoNumeric data onlyyes
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
BadgerEDB PostgresGoogle Cloud BigtableGraphiteRDF4J infoformerly known as Sesame
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