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DBMS > Google Cloud Datastore vs. Manticore Search vs. MarkLogic vs. RDF4J vs. Teradata Aster

System Properties Comparison Google Cloud Datastore vs. Manticore Search vs. MarkLogic vs. RDF4J vs. Teradata Aster

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Platform for big data analytics on multistructured data sources and types
Primary database modelDocument storeSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.87
Rank#78  Overall
#12  Document stores
Score0.26
Rank#312  Overall
#21  Search engines
Score7.08
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.72
Rank#234  Overall
#9  RDF stores
Websitecloud.google.com/­datastoremanticoresearch.comwww.marklogic.comrdf4j.org
Technical documentationcloud.google.com/­datastore/­docsmanual.manticoresearch.comdocs.marklogic.comrdf4j.org/­documentation
DeveloperGoogleManticore SoftwareMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release20082017200120042005
Current release6.0, February 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeFixed schemaschema-free infoSchema can be enforcedyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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.noCan index from XMLyesyes infoin Aster File Store
Secondary indexesyesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageyes infoSQL92noyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsyes infovia XQuery or JavaScriptyesR packages
TriggersCallbacks using the Google Apps Enginenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSynchronous replication based on Galera libraryyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreManticore SearchMarkLogicRDF4J infoformerly known as SesameTeradata Aster
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