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DBMS > EJDB vs. Manticore Search vs. Newts vs. Rockset vs. Spark SQL

System Properties Comparison EJDB vs. Manticore Search vs. Newts vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonManticore Search  Xexclude from comparisonNewts  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Multi-storage database for search, including full-text search.Time Series DBMS based on CassandraA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeSearch engineTime Series DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#294  Overall
#44  Document stores
Score0.23
Rank#317  Overall
#21  Search engines
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbmanticoresearch.comopennms.github.io/­newtsrockset.comspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdmanual.manticoresearch.comgithub.com/­OpenNMS/­newts/­wikidocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsManticore SoftwareOpenNMS GroupRocksetApache Software Foundation
Initial release20122017201420192014
Current release6.0, February 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGPL version 2Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaC++Scala
Server operating systemsserver-lessFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeFixed schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesdynamic typingyes
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.Can index from XMLnono infoingestion from XML files supportedno
Secondary indexesnoyes infofull-text index on all search fieldsnoall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languagenoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
Java API
HTTP RESTJDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on CassandraAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnonono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnononoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
EJDBManticore SearchNewtsRocksetSpark SQL
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