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DBMS > Bangdb vs. ClickHouse vs. Drizzle vs. QuestDB vs. YDB

System Properties Comparison Bangdb vs. ClickHouse vs. Drizzle vs. QuestDB vs. YDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonClickHouse  Xexclude from comparisonDrizzle  Xexclude from comparisonQuestDB  Xexclude from comparisonYDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance open source SQL database for time series dataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitebangdb.comclickhouse.comquestdb.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.bangdb.comclickhouse.com/­docsquestdb.io/­docsydb.tech/­en/­docs
DeveloperSachin Sinha, BangDBClickhouse Inc.Drizzle project, originally started by Brian AkerQuestDB Technology IncYandex
Initial release20122016200820142019
Current releaseBangDB 2.0, October 2021v24.4.1.2088-stable, May 20247.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache 2.0Open 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.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageC, C++C++C++Java (Zero-GC), C++, Rust
Server operating systemsLinuxFreeBSD
Linux
macOS
FreeBSD
Linux
OS X
Linux
macOS
Windows
Linux
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line ProtocolFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesnoyes
SQL infoSupport of SQLSQL like support with command line toolClose to ANSI SQL (SQL/JSON + extensions)yes infowith proprietary extensionsSQL with time-series extensionsSQL-like query language (YQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Java
Python
C# 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++
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesnonono
Triggersyes, Notifications (with Streaming only)nono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmkey based and customShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication
Source-replica replication
Source-replica replication with eventual consistencyActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infothrough memory mapped filesno
User concepts infoAccess controlyes (enterprise version only)Access 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.Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights defined for Yandex Cloud users
More information provided by the system vendor
BangdbClickHouseDrizzleQuestDBYDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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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
BangdbClickHouseDrizzleQuestDBYDB
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