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DBMS > Dgraph vs. Google Cloud Datastore vs. Manticore Search vs. Sadas Engine vs. WakandaDB

System Properties Comparison Dgraph vs. Google Cloud Datastore vs. Manticore Search vs. Sadas Engine vs. WakandaDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMSDocument storeSearch engineRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedgraph.iocloud.google.com/­datastoremanticoresearch.comwww.sadasengine.comwakanda.github.io
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docsmanual.manticoresearch.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwakanda.github.io/­doc
DeveloperDgraph Labs, Inc.GoogleManticore SoftwareSADAS s.r.l.Wakanda SAS
Initial release20162008201720062012
Current release6.0, February 20238.02.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2commercial infofree trial version availableOpen Source infoAGPLv3, extended commercial license available
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 languageGoC++C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.nonoCan index from XMLnono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query languageyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnousing Google App Engineuser defined functionsnoyes
TriggersnoCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication using PaxosSynchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standardyes

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More resources
DgraphGoogle Cloud DatastoreManticore SearchSadas EngineWakandaDB
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