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DBMS > HBase vs. Memgraph vs. Spark SQL vs. YDB

System Properties Comparison HBase vs. Memgraph vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMemgraph  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn open source graph database built for real-time streaming and compatible with Neo4jSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelWide column storeGraph DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitehbase.apache.orgmemgraph.comspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhbase.apache.org/­book.htmlmemgraph.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMemgraph LtdApache Software FoundationYandex
Initial release2008201720142019
Current release2.3.4, January 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Scala
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Windows
Linux
Data schemeschema-free, schema definition possibleschema-free and schema-optionalyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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 indexesnonoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Bolt protocol
Cypher query language
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using RAFTnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsnoAccess rights defined for Yandex Cloud users
More information provided by the system vendor
HBaseMemgraphSpark SQLYDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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