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DBMS > Microsoft Azure AI Search vs. Riak TS vs. Sadas Engine vs. Tarantool

System Properties Comparison Microsoft Azure AI Search vs. Riak TS vs. Sadas Engine vs. Tarantool

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonRiak TS  Xexclude from comparisonSadas Engine  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelSearch engineTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsVector DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.sadasengine.comwww.tarantool.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.tarantool.io/­en/­doc
DeveloperMicrosoftOpen Source, formerly Basho TechnologiesSADAS s.r.l.VK
Initial release2015201520062008
Current releaseV13.0.0, September 20228.02.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree trial version availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C and C++
Server operating systemshostedLinux
OS X
AIX
Linux
Windows
BSD
Linux
macOS
Data schemeyesschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesnoyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 indexesyesrestrictedyesyes
SQL infoSupport of SQLnoyes, limitedyesFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Open binary protocol
Supported programming languagesC#
Java
JavaScript
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoErlangnoLua, C and SQL stored procedures
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioningSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factornoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynono infolinks between datasets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
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'yes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyes infousing Azure authenticationnoAccess rights for users, groups and roles according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Microsoft Azure AI SearchRiak TSSadas EngineTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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