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DBMS > Databricks vs. Fauna vs. NCache vs. Typesense

System Properties Comparison Databricks vs. Fauna vs. NCache vs. Typesense

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonNCache  Xexclude from comparisonTypesense  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Open-Source and Enterprise in-memory Key-Value StoreA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value storeSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.databricks.comfauna.comwww.alachisoft.com/­ncachetypesense.org
Technical documentationdocs.databricks.comdocs.fauna.comwww.alachisoft.com/­resources/­docstypesense.org/­docs
DeveloperDatabricksFauna, Inc.Alachisoft
Initial release2013201420052015
Current release5.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#, .NET, .NET Core, JavaC++
Server operating systemshostedhostedLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno infosupport for stored procedures with SQL-Server CLRno
Triggersnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes, with selectable consistency levelMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking and pessimistic lockingno
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.nonoyesyes
User concepts infoAccess controlIdentity management, authentication, and access controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatabricksFauna infopreviously named FaunaDBNCacheTypesense
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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DatabricksFauna infopreviously named FaunaDBNCacheTypesense
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