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DBMS > ArangoDB vs. EXASOL vs. H2 vs. Microsoft Azure Synapse Analytics

System Properties Comparison ArangoDB vs. EXASOL vs. H2 vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonEXASOL  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#86  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.52
Rank#140  Overall
#63  Relational DBMS
Score6.83
Rank#49  Overall
#30  Relational DBMS
Score14.41
Rank#37  Overall
#22  Relational DBMS
Websitearangodb.comwww.exasol.comwww.h2database.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.arangodb.comwww.exasol.com/­resourceswww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperArangoDB Inc.ExasolThomas MuellerMicrosoft
Initial release2012200020052016
Current release3.11.5, November 20232.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
Lua
Python
R
JavaC#
Java
PHP
Server-side scripts infoStored proceduresJavaScriptuser defined functionsJava Stored Procedures and User-Defined FunctionsTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
ArangoDBEXASOLH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
ArangoDBEXASOLH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
DB-Engines blog posts

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