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DBMS > Machbase Neo vs. Spark SQL vs. VelocityDB vs. YottaDB

System Properties Comparison Machbase Neo vs. Spark SQL vs. VelocityDB vs. YottaDB

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Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast and solid embedded Key-value store
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Key-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitemachbase.comspark.apache.org/­sqlvelocitydb.comyottadb.com
Technical documentationmachbase.com/­dbmsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuideyottadb.com/­resources/­documentation
DeveloperMachbaseApache Software FoundationVelocityDB IncYottaDB, LLC
Initial release2013201420112001
Current releaseV8.0, August 20233.5.0 ( 2.13), September 20237.x
License infoCommercial or Open Sourcecommercial infofree test version availableOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC#C
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Any that supports .NETDocker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoby using the Octo plugin
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
.NetPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
Python
R
Scala
.NetC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tablenoyesyes
User concepts infoAccess controlsimple password-based access controlnoBased on Windows AuthenticationUsers and groups based on OS-security mechanisms

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More resources
Machbase Neo infoFormer name was InfinifluxSpark SQLVelocityDBYottaDB
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