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DBMS > Badger vs. EXASOL vs. Ignite vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison Badger vs. EXASOL vs. Ignite vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J 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
Relational DBMS
Wide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourcesapacheignite.readme.io/­docsrdf4j.org/­documentation
DeveloperDGraph LabsExasolApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172000201520122004
Current releaseApache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGoJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)noyes
Triggersnoyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesno

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More resources
BadgerEXASOLIgniteMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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