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DBMS > Microsoft Azure Data Explorer vs. Riak TS vs. SingleStore vs. Sphinx vs. Titan

System Properties Comparison Microsoft Azure Data Explorer vs. Riak TS vs. SingleStore vs. Sphinx vs. Titan

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonRiak TS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen source search engine for searching in data from different sources, e.g. relational databasesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infocolumn orientedTime Series DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsDocument 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
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteazure.microsoft.com/­services/­data-explorerwww.singlestore.comsphinxsearch.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.singlestore.comsphinxsearch.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftOpen Source, formerly Basho TechnologiesSingleStore Inc.Sphinx Technologies Inc.Aurelius, owned by DataStax
Initial release20192015201320012012
Current releasecloud service with continuous releases3.0.0, September 20228.5, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageErlangC++, GoC++Java
Server operating systemshostedLinux
OS X
Linux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnoyesnoyes
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.yesnono
Secondary indexesall fields are automatically indexedrestrictedyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyes, limitedyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)no
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Python
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, RErlangyesnoyes
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infopre-commit hooks and post-commit hooksnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno infocan define user-defined aggregate functions for map-reduce-style calculationsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoThe original contents of fields are not stored in the Sphinx index.yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAzure Active Directory AuthenticationnoFine grained access control via users, groups and rolesnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Microsoft Azure Data ExplorerRiak TSSingleStore infoformer name was MemSQLSphinxTitan
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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Microsoft Azure Data ExplorerRiak TSSingleStore infoformer name was MemSQLSphinxTitan
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