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DBMS > CockroachDB vs. Google Cloud Bigtable vs. Microsoft Access vs. Sequoiadb vs. STSdb

System Properties Comparison CockroachDB vs. Google Cloud Bigtable vs. Microsoft Access vs. Sequoiadb vs. STSdb

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSequoiadb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)NewSQL database with distributed OLTP and SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.cockroachlabs.comcloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accesswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperCockroach LabsGoogleMicrosoftSequoiadb Ltd.STS Soft SC
Initial release20152015199220132011
Current release24.1.0, May 20241902 (16.0.11328.20222), March 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoServer: AGPL; Client: Apache V2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++C#
Server operating systemsLinux
macOS
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinuxWindows
Data schemedynamic schemaschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regexyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infobut not compliant to any SQL standardSQL-like query languageno
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON.NET Client API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersnonoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infobut no files for transaction loggingDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003simple password-based access controlno

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More resources
CockroachDBGoogle Cloud BigtableMicrosoft AccessSequoiadbSTSdb
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