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DBMS > Amazon DocumentDB vs. Google Cloud Bigtable vs. HBase vs. TiDB

System Properties Comparison Amazon DocumentDB vs. Google Cloud Bigtable vs. HBase vs. TiDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelDocument storeKey-value store
Wide column store
Wide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.66
Rank#70  Overall
#38  Relational DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­bigtablehbase.apache.orgpingcap.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­bigtable/­docshbase.apache.org/­book.htmldocs.pingcap.com/­tidb/­stable
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetPingCAP, Inc.
Initial release2019201520082016
Current release2.3.4, January 20218.0.0, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaGo, Rust
Server operating systemshostedhostedLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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 indexesyesnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic single-row operationsSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACFine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBGoogle Cloud BigtableHBaseTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Amazon DocumentDBGoogle Cloud BigtableHBaseTiDB
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