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DBMS > Databend vs. Google Cloud Datastore vs. Memgraph vs. Microsoft Azure AI Search

System Properties Comparison Databend vs. Google Cloud Datastore vs. Memgraph vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source graph database built for real-time streaming and compatible with Neo4jSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument storeGraph DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­datastorememgraph.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databend.comcloud.google.com/­datastore/­docsmemgraph.com/­docslearn.microsoft.com/­en-us/­azure/­search
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDatabend LabsGoogleMemgraph LtdMicrosoft
Initial release2021200820172015
Current release1.0.59, April 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++
Server operating systemshosted
Linux
macOS
hostedLinuxhosted
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)nono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnousing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replication using RAFTyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
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 pathsyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsyes infousing Azure authentication
More information provided by the system vendor
DatabendGoogle Cloud DatastoreMemgraphMicrosoft Azure AI Search
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
DatabendGoogle Cloud DatastoreMemgraphMicrosoft Azure AI Search
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