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DBMS > Badger vs. Geode vs. Informix vs. Microsoft Azure Table Storage

System Properties Comparison Badger vs. Geode vs. Informix vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeode  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeKey-value storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegithub.com/­dgraph-io/­badgergeode.apache.orgwww.ibm.com/­products/­informixazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergeode.apache.org/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperDGraph LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Microsoft
Initial release2017200219842012
Current release1.1, February 201714.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC, C++ and Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.nonono
Secondary indexesnonoyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)yesno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesno
User concepts infoAccess controlnoAccess rights per client and object definableUsers with fine-grained authentication, authorization, and auditing controlsAccess rights based on private key authentication or shared access signatures

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More resources
BadgerGeodeInformixMicrosoft Azure Table Storage
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