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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonatoti  Xexclude from comparisonCockroachDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn 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 store
Primary database modelRelational DBMSGraph DBMS
RDF store
Object oriented DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
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
Websitealtibase.comcambridgesemantics.com/­anzographatoti.iowww.cockroachlabs.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.atoti.iowww.cockroachlabs.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAltibaseCambridge SemanticsActiveViamCockroach LabsOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release1999201820151994
Current releasev7.3, 2023, August 20232.3, January 202123.1.1, May 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infofree trial version availablecommercial infofree versions availableOpen Source infoApache 2.0, commercial license availableOpen Source infocommercial 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
LinuxLinux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92SPARQL and SPARQL* as primary query language. Cypher preview.Multidimensional Expressions (MDX)yes, wire compatible with PostgreSQLyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Supported programming languagesC
C++
Java
C++
Java
Python
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
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions and aggregatesPythonnono
Triggersyesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding, 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 RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-ClusterMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access controlno

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More resources
AltibaseAnzoGraph DBatotiCockroachDBOracle Berkeley DB
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