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DBMS > Databend vs. Google Cloud Spanner vs. LevelDB vs. Microsoft Azure AI Search

System Properties Comparison Databend vs. Google Cloud Spanner vs. LevelDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLevelDB  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 complexityA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSKey-value storeSearch 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­spannergithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databend.comcloud.google.com/­spanner/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-us/­azure/­search
DeveloperDatabend LabsGoogleGoogleMicrosoft
Initial release2021201720112015
Current release1.0.59, April 20231.23, February 2021V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercial
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++
Server operating systemshosted
Linux
macOS
hostedIllumos
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesnoyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.noneyes 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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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)noyes infousing Azure authentication

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More resources
DatabendGoogle Cloud SpannerLevelDBMicrosoft Azure AI Search
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