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DBMS > DataFS vs. Google Cloud Bigtable vs. Percona Server for MySQL vs. Splice Machine

System Properties Comparison DataFS vs. Google Cloud Bigtable vs. Percona Server for MySQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAll 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.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitenewdatabase.comcloud.google.com/­bigtablewww.percona.com/­software/­mysql-database/­percona-serversplicemachine.com
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­bigtable/­docswww.percona.com/­downloads/­Percona-Server-LATESTsplicemachine.com/­how-it-works
DeveloperMobiland AGGooglePerconaSplice Machine
Initial release2018201520082014
Current release1.1.263, October 20228.0.36-28, 20243.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemsWindowshostedLinuxLinux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infoJava
Triggersno, except callback-events from server when changes happenednoyesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
DataFSGoogle Cloud BigtablePercona Server for MySQLSplice Machine
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