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DBMS > EJDB vs. Google Cloud Datastore vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb

System Properties Comparison EJDB vs. Google Cloud Datastore vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMarkLogic  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOperational and transactional Enterprise NoSQL databaseNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbcloud.google.com/­datastoregithub.com/­heavyai/­heavydb
www.heavy.ai
www.marklogic.comwww.sequoiadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­datastore/­docsdocs.heavy.aidocs.marklogic.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftmotionsGoogleHEAVY.AI, Inc.MarkLogic Corp.Sequoiadb Ltd.
Initial release20122008201620012013
Current release5.10, January 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ and CUDAC++C++
Server operating systemsserver-lesshostedLinuxLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, details hereyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyes infoSQL92SQL-like query language
APIs and other access methodsin-process shared librarygRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
proprietary protocol using JSON
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnousing Google App Enginenoyes infovia XQuery or JavaScriptJavaScript
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infocan act as a resource manager in an XA/JTA transactionDocument is locked during a transaction
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.noyesyes, with Range Indexesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelssimple password-based access control

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More resources
EJDBGoogle Cloud DatastoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MarkLogicSequoiadb
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