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DBMS > Apache Spark (SQL) vs. AriaSQL vs. Memgraph

System Properties Comparison Apache Spark (SQL) vs. AriaSQL vs. Memgraph

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonAriaSQL  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingAriaSQL is a relational database server. Implements ANSI SQL.An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score2.54
Rank#98  Overall
#8  Graph DBMS
Websitespark.apache.org/­sqlariasql.com
github.com/­ariasql
memgraph.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlmemgraph.com/­docs
DeveloperApache Software FoundationMemgraph Ltd
Initial release201420242017
Current release3.5.0 ( 2.13), September 2023Alpha development phase
License infoCommercial or Open SourceOpen Source infoApache 2.0AGPLOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoC and C++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers, roles and permissions

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More resources
Apache Spark (SQL)AriaSQLMemgraph
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