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DBMS > Apache Druid vs. Axibase vs. GridGain vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Druid vs. Axibase vs. GridGain vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Db2 Event Store  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 dataScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationGridGain is an in-memory computing platform, built on Apache IgniteDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Relational DBMS
Event Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitedruid.apache.orgaxibase.com/­docs/­atsd/­financewww.gridgain.comwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analytics
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsAxibase CorporationGridGain Systems, Inc.IBMMicrosoft
Initial release20122013200720172016
Current release29.0.1, April 202415585GridGain 8.5.12.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC and C++C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionhosted
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.nonoyesnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yesTransact SQL
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes (replicated cache)Active-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono 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 datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes

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More resources
Apache DruidAxibaseGridGainIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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