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DBMS > atoti vs. CockroachDB vs. Oracle Berkeley DB vs. YDB

System Properties Comparison atoti vs. CockroachDB vs. Oracle Berkeley DB vs. YDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCockroachDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.CockroachDB 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.Widely used in-process key-value storeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelObject oriented DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteatoti.iowww.cockroachlabs.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.atoti.iowww.cockroachlabs.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlydb.tech/­en/­docs
DeveloperActiveViamCockroach LabsOracle infooriginally developed by Sleepycat, which was acquired by OracleYandex
Initial release201519942019
Current release23.1.1, May 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0, commercial license availableOpen Source infocommercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemedynamic schemaschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes, wire compatible with PostgreSQLyes infoSQL interfaced based on SQLite is availableSQL-like query language (YQL)
APIs and other access methodsJDBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPythonnonono
Triggersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal 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 RAFTnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlRole-based access controlnoAccess rights defined for Yandex Cloud users

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More resources
atotiCockroachDBOracle Berkeley DBYDB
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