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DBMS > Apache Kylin vs. EsgynDB vs. Immudb vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Kylin vs. EsgynDB vs. Immudb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEsgynDB  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitekylin.apache.orgwww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­services/­synapse-analytics
Technical documentationkylin.apache.org/­docsdocs.immudb.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation, originally contributed from eBay IncEsgynCodenotaryMicrosoft
Initial release2015201520202016
Current release3.1.0, July 20201.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaGoC++
Server operating systemsLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
hosted
Data schemeyesyesschema-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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesSQL-like syntaxyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresJava Stored ProceduresnoTransact SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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