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DBMS > Badger vs. Datastax Enterprise vs. H2 vs. XTDB

System Properties Comparison Badger vs. Datastax Enterprise vs. H2 vs. XTDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonH2  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeWide column storeRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.93
Rank#56  Overall
#4  Wide column stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisewww.h2database.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comwww.h2database.com/­html/­main.htmlwww.xtdb.com/­docs
DeveloperDGraph LabsDataStaxThomas MuellerJuxt Ltd.
Initial release2017201120052019
Current release6.8, April 20202.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaClojure
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes, extensible-data-notation format
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaClojure
Java
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerDatastax EnterpriseH2XTDB infoformerly named Crux
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
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BadgerDatastax EnterpriseH2XTDB infoformerly named Crux
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