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DBMS > Altibase vs. DataFS vs. Google Cloud Bigtable vs. YugabyteDB

System Properties Comparison Altibase vs. DataFS vs. Google Cloud Bigtable vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSObject oriented DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsGraph DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#98  Relational DBMS
Score0.00
Rank#386  Overall
#20  Object oriented DBMS
Score2.93
Rank#90  Overall
#14  Key-value stores
#8  Wide column stores
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websitealtibase.comnewdatabase.comcloud.google.com/­bigtablewww.yugabyte.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdev.mobiland.com/­Overview.xspcloud.google.com/­bigtable/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperAltibaseMobiland AGGoogleYugabyte Inc.
Initial release1999201820152017
Current releasev7.3, 2023, August 20231.1.263, October 20222.19, September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsAIX
HP-UX
Linux
WindowshostedLinux
OS X
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freedepending on used data model
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI SQL-92nonoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Proprietary protocol
.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Java
.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infosql, plpgsql, C
Triggersyesno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
AltibaseDataFSGoogle Cloud BigtableYugabyteDB
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