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DBMS > Apache Impala vs. Drizzle vs. Memgraph vs. Microsoft Azure SQL Database vs. OpenEdge

System Properties Comparison Apache Impala vs. Drizzle vs. Memgraph vs. Microsoft Azure SQL Database vs. OpenEdge

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenEdge  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source graph database built for real-time streaming and compatible with Neo4jDatabase as a Service offering with high compatibility to Microsoft SQL ServerApplication development environment with integrated database management system
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteimpala.apache.orgmemgraph.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.progress.com/­openedge
Technical documentationimpala.apache.org/­impala-docs.htmlmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocumentation.progress.com/­output/­ua/­OpenEdge_latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerMemgraph LtdMicrosoftProgress Software Corporation
Initial release20132008201720101984
Current release4.1.0, June 20227.2.4, September 2012V12OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsnoyesyes infoclose to SQL 92
APIs and other access methodsJDBC
ODBC
JDBCBolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoTransact SQLyes
Triggersnono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioninghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication using RAFTyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsfine grained access rights according to SQL-standardUsers and groups
More information provided by the system vendor
Apache ImpalaDrizzleMemgraphMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdge
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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More resources
Apache ImpalaDrizzleMemgraphMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdge
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