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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonClickHouse  Xexclude from comparisonDrizzle  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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged 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 distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitebitnine.net/­agensgraphbangdb.comclickhouse.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationbitnine.net/­documentationdocs.bangdb.comclickhouse.com/­docsydb.tech/­en/­docs
DeveloperBitnine Global Inc.Sachin Sinha, BangDBClickhouse Inc.Drizzle project, originally started by Brian AkerYandex
Initial release20162012201620082019
Current release2.1, December 2018BangDB 2.0, October 2021v24.4.1.2088-stable, May 20247.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3Open Source infoApache 2.0Open Source infoGNU GPLOpen 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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.
Implementation languageCC, C++C++C++
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
FreeBSD
Linux
OS X
Linux
Data schemedepending on used data modelschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLyesSQL like support with command line toolClose to ANSI SQL (SQL/JSON + extensions)yes infowith proprietary extensionsSQL-like query language (YQL)
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
Java
JavaScript
Python
C
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoyesnono
Triggersnoyes, Notifications (with Streaming only)nono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmkey based and customShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable 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
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (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

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3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
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DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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More resources
AgensGraphBangdbClickHouseDrizzleYDB
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