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DBMS > Cloudflare Workers KV vs. GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure Data Explorer vs. SAP IQ

System Properties Comparison Cloudflare Workers KV vs. GigaSpaces vs. Google Cloud Spanner vs. Microsoft Azure Data Explorer vs. SAP IQ

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA 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.Fully managed big data interactive analytics platformColumnar RDBMS optimized for Big Data analytics
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS infocolumn orientedRelational DBMS infocolumn-oriented
Secondary database modelsGraph DBMS
Search engine
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gigaspaces.comcloud.google.com/­spannerazure.microsoft.com/­services/­data-explorerwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.html
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerhelp.sap.com/­docs/­SAP_IQ
DeveloperCloudflareGigaspaces TechnologiesGoogleMicrosoftSAP, formerly Sybase
Initial release20182000201720191994
Current release15.5, September 2020cloud service with continuous releases16.1 SPS04, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net
Server operating systemshostedLinux
macOS
Solaris
Windows
hostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or datenoyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.nono infoXML can be used for describing objects metadatanoyesno
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infoQuery statements complying to ANSI 2011Kusto Query Language (KQL), SQL subsetyes
APIs and other access methodsHTTP REST
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoYes, possible languages: KQL, Python, Ryes
Triggersnoyes, event driven architecturenoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.SAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infousing Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparkHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnonono
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory Authenticationfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGigaSpacesGoogle Cloud SpannerMicrosoft Azure Data ExplorerSAP IQ infoformer name: Sybase IQ
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