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DBMS > Memgraph vs. Spark SQL

System Properties Comparison Memgraph vs. Spark SQL

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#296  Overall
#26  Graph DBMS
Score18.40
Rank#34  Overall
#21  Relational DBMS
Websitememgraph.comspark.apache.org/­sql
Technical documentationdocs.memgraph.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMemgraph LtdApache Software Foundation
Initial release20172014
Current release3.0.0, June 2020
License infoCommercial or Open Sourcecommercial infoFree license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Scala
Server operating systemsLinuxLinux
OS X
Windows
Data schemeschema-free and schema-optionalyes
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 SQLnoSQL-like DML and DDL statements
APIs and other access methodsBolt protocol
Cypher query language
JDBC
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Master replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsno

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MemgraphSpark SQL
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