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DBMS > Badger vs. Blueflood vs. ClickHouse vs. Datastax Enterprise vs. YDB

System Properties Comparison Badger vs. Blueflood vs. ClickHouse vs. Datastax Enterprise vs. YDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable TimeSeries DBMS based on CassandraA 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.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeTime Series DBMSRelational DBMSWide column storeDocument store
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score16.34
Rank#38  Overall
#23  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerblueflood.ioclickhouse.comwww.datastax.com/­products/­datastax-enterprisegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­rax-maas/­blueflood/­wikiclickhouse.com/­docsdocs.datastax.comydb.tech/­en/­docs
DeveloperDGraph LabsRackspaceClickhouse Inc.DataStaxYandex
Initial release20172013201620112019
Current releasev24.4.1.2088-stable, May 20246.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0; commercial license available
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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • 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.
  • 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 languageGoJavaC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
FreeBSD
Linux
macOS
Linux
OS X
Linux
Data schemeschema-freepredefined schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
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 indexesnonoyesyesyes
SQL infoSupport of SQLnonoClose to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (YQL)
APIs and other access methodsHTTP RESTgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP API (DynamoDB compatible)
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrakey based and customSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.configurable replication factor, datacenter aware, advanced replication for edge computingActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlnonoAccess 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 objectAccess rights defined for Yandex Cloud users
More information provided by the system vendor
BadgerBluefloodClickHouseDatastax EnterpriseYDB
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 partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

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

More resources
BadgerBluefloodClickHouseDatastax EnterpriseYDB
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