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DBMS > Apache Drill vs. Datomic vs. Hazelcast vs. Infobright vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Drill vs. Datomic vs. Hazelcast vs. Infobright vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data gridHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitedrill.apache.orgwww.datomic.comhazelcast.comignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationdrill.apache.org/­docsdocs.datomic.comhazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationCognitectHazelcastIgnite Technologies Inc.; formerly InfoBright Inc.Microsoft
Initial release20122012200820052016
Current release1.20.3, January 20231.0.6735, June 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaCC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VMLinux
Windows
hosted
Data schemeschema-freeyesschema-freeyesyes
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.nonoyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like query languageyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++Clojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsyes infoEvent Listeners, Executor ServicesnoTransact SQL
TriggersnoBy using transaction functionsyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoReplicated MapSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate 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 datanoACIDone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlDepending on the underlying data sourcenoRole-based access controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes

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Apache DrillDatomicHazelcastInfobrightMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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