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DBMS > Apache Spark (SQL) vs. Geode vs. YottaDB

System Properties Comparison Apache Spark (SQL) vs. Geode vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonGeode  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.76
Rank#30  Overall
#18  Relational DBMS
Score1.35
Rank#154  Overall
#25  Key-value stores
Score0.19
Rank#312  Overall
#47  Key-value stores
Websitespark.apache.org/­sqlgeode.apache.orgyottadb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgeode.apache.org/­docsyottadb.com/­resources/­documentation
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.YottaDB, LLC
Initial release201420022001
Current release3.5.0 ( 2.13), September 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredDocker
Linux
Data schemeyesschema-freeschema-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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)by using the Octo plugin
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava
Python
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights per client and object definableUsers and groups based on OS-security mechanisms

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More resources
Apache Spark (SQL)GeodeYottaDB
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