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DBMS > Axibase vs. Google Cloud Datastore vs. Memcached vs. Microsoft Azure AI Search vs. Warp 10

System Properties Comparison Axibase vs. Google Cloud Datastore vs. Memcached vs. Microsoft Azure AI Search vs. Warp 10

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app developmentTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument storeKey-value storeSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#288  Overall
#25  Time Series DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score20.74
Rank#32  Overall
#4  Key-value stores
Score5.71
Rank#64  Overall
#8  Search engines
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­datastorewww.memcached.orgazure.microsoft.com/­en-us/­services/­searchwww.warp10.io
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­searchwww.warp10.io/­content/­02_Getting_started
DeveloperAxibase CorporationGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSenX
Initial release20132008200320152015
Current release155851.6.25, March 2024V1
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoBSD licensecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes, details herenoyesyes
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 indexesnoyesnoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)nonono
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesusing Google App Enginenonoyes infoWarpScript
TriggersyesCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
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 infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AxibaseGoogle Cloud DatastoreMemcachedMicrosoft Azure AI SearchWarp 10
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