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DBMS > Google Cloud Datastore vs. Machbase Neo vs. Spark SQL vs. Trafodion vs. VelocityDB

System Properties Comparison Google Cloud Datastore vs. Machbase Neo vs. Spark SQL vs. Trafodion vs. VelocityDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonVelocityDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTimeSeries DBMS for AIoT and BigDataSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitecloud.google.com/­datastoremachbase.comspark.apache.org/­sqltrafodion.apache.orgvelocitydb.com
Technical documentationcloud.google.com/­datastore/­docsmachbase.com/­dbmsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperGoogleMachbaseApache Software FoundationApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release20082013201420142011
Current releaseV8.0, August 20233.5.0 ( 2.13), September 20232.3.0, February 20197.x
License infoCommercial or Open Sourcecommercialcommercial infofree test version availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaC++, JavaC#
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Windows
LinuxAny that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
.Net
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresusing Google App EnginenonoJava Stored Proceduresno
TriggersCallbacks using the Google Apps EnginenononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tablenonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlnofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Google Cloud DatastoreMachbase Neo infoFormer name was InfinifluxSpark SQLTrafodionVelocityDB
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