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DBMS > Databricks vs. EXASOL vs. Microsoft Azure Synapse Analytics vs. NCache

System Properties Comparison Databricks vs. EXASOL vs. Microsoft Azure Synapse Analytics vs. NCache

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score1.52
Rank#140  Overall
#63  Relational DBMS
Score14.41
Rank#37  Overall
#22  Relational DBMS
Score0.90
Rank#198  Overall
#31  Key-value stores
Websitewww.databricks.comwww.exasol.comazure.microsoft.com/­services/­synapse-analyticswww.alachisoft.com/­ncache
Technical documentationdocs.databricks.comwww.exasol.com/­resourcesdocs.microsoft.com/­azure/­synapse-analyticswww.alachisoft.com/­resources/­docs
DeveloperDatabricksExasolMicrosoftAlachisoft
Initial release2013200020162005
Current release5.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#, .NET, .NET Core, Java
Server operating systemshostedhostedLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
C#
Java
PHP
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsTransact SQLno infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking and pessimistic locking
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatabricksEXASOLMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
DatabricksEXASOLMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
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