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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonatoti  Xexclude from comparisonCockroachDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn 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 modelRelational DBMSObject 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
Score1.07
Rank#186  Overall
#87  Relational DBMS
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
Websitealtibase.comatoti.iowww.cockroachlabs.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.atoti.iowww.cockroachlabs.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlydb.tech/­en/­docs
DeveloperAltibaseActiveViamCockroach LabsOracle infooriginally developed by Sleepycat, which was acquired by OracleYandex
Initial release1999201519942019
Current releasev7.3, 2023, August 202323.1.1, May 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
HP-UX
Linux
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesdynamic schemaschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92Multidimensional Expressions (MDX)yes, wire compatible with PostgreSQLyes infoSQL interfaced based on SQLite is availableSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Java
C#
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 proceduresstored procedures and stored functionsPythonnonono
Triggersyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, 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 nodesyesMulti-source replication using RAFTSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlnoAccess rights defined for Yandex Cloud users

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More resources
AltibaseatotiCockroachDBOracle Berkeley DBYDB
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