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DBMS > EJDB vs. FileMaker vs. NCache vs. Newts vs. Spark SQL

System Properties Comparison EJDB vs. FileMaker vs. NCache vs. Newts vs. Spark SQL

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNCache  Xexclude from comparisonNewts  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FileMaker is a cross-platform RDBMS that includes a GUI frontend.Open-Source and Enterprise in-memory Key-Value StoreTime Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.claris.com/­filemakerwww.alachisoft.com/­ncacheopennms.github.io/­newtsspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.claris.com/­resources/­documentationwww.alachisoft.com/­resources/­docsgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsClaris infoa subsidiary of AppleAlachisoftOpenNMS GroupApache Software Foundation
Initial release20121983200520142014
Current release19.4.1, November 20215.3.3, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoEnterprise Edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#, .NET, .NET Core, JavaJavaScala
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.yes infoA http query request can return the data in XML formatnonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoyes infovia pluginsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryFilemaker WebDirect
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
PHP.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno infosupport for stored procedures with SQL-Server CLRnono
Triggersnoyesyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yes, with selectable consistency levelselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)nono
More information provided by the system vendor
EJDBFileMakerNCacheNewtsSpark SQL
Specific characteristicsNCache 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
EJDBFileMakerNCacheNewtsSpark SQL
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