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DBMS > Databricks vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. NCache

System Properties Comparison Databricks vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. NCache

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHawkular Metrics  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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.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
Time Series 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
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Websitewww.databricks.comwww.hawkular.orgazure.microsoft.com/­services/­synapse-analyticswww.alachisoft.com/­ncache
Technical documentationdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analyticswww.alachisoft.com/­resources/­docs
DeveloperDatabricksCommunity supported by Red HatMicrosoftAlachisoft
Initial release2013201420162005
Current release5.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#, .NET, .NET Core, Java
Server operating systemshostedLinux
OS X
Windows
hostedLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-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 indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-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
HTTP RESTADO.NET
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
C#
Java
PHP
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoTransact SQLno infosupport for stored procedures with SQL-Server CLR
Triggersyes infovia Hawkular Alertingnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynono 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 dataACIDnoACIDoptimistic 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.nonoyes
User concepts infoAccess controlnoyesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatabricksHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
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Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
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Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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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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DatabricksHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
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