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DBMS > Badger vs. ClickHouse vs. Datastax Enterprise vs. TerminusDB vs. Transbase

System Properties Comparison Badger vs. ClickHouse vs. Datastax Enterprise vs. TerminusDB vs. Transbase

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeRelational DBMSWide column storeGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score16.34
Rank#38  Overall
#23  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerclickhouse.comwww.datastax.com/­products/­datastax-enterpriseterminusdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.com/­docsdocs.datastax.comterminusdb.github.io/­terminusdb/­#www.transaction.de/­en/­products/­transbase/­features.html
DeveloperDGraph LabsClickhouse Inc.DataStaxDataChemist Ltd.Transaction Software GmbH
Initial release20172016201120181987
Current releasev24.4.1.2088-stable, May 20246.8, April 202011.0.0, January 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3commercial infofree development license
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.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageGoC++JavaProlog, RustC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Linux
OS X
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (WOQL)yes
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGoC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonekey based and customSharding infono "single point of failure"Graph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.configurable replication factor, datacenter aware, advanced replication for edge computingJournaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
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 and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights for users can be defined per objectRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerClickHouseDatastax EnterpriseTerminusDB infoformer name was DataChemistTransbase
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...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerClickHouseDatastax EnterpriseTerminusDB infoformer name was DataChemistTransbase
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