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DBMS > Apache Druid vs. ArcadeDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Druid vs. ArcadeDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonArcadeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#111  Overall
#57  Relational DBMS
#6  Time Series DBMS
Score0.16
Rank#298  Overall
#41  Document stores
#25  Graph DBMS
#43  Key-value stores
#26  Time Series DBMS
Score22.46
Rank#36  Overall
#22  Relational DBMS
Websitedruid.apache.orgarcadedb.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.arcadedb.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsArcade DataMicrosoft
Initial release201220212016
Current release0.22.1, December 2021September 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMhosted
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query language, no joinsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno 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 datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes

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More resources
Apache DruidArcadeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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