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DBMS > Alibaba Cloud Log Service vs. Elasticsearch vs. GigaSpaces vs. Ignite vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud Log Service vs. Elasticsearch vs. GigaSpaces vs. Ignite vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platform
Primary database modelSearch engineSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Relational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph 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
Score0.43
Rank#265  Overall
#18  Search engines
Score135.35
Rank#7  Overall
#1  Search engines
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitewww.alibabacloud.com/­product/­log-servicewww.elastic.co/­elasticsearchwww.gigaspaces.comignite.apache.orgazure.microsoft.com/­services/­data-explorer
Technical documentationwww.alibabacloud.com/­help/­en/­slswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAlibabaCloud Inc.ElasticGigaspaces TechnologiesApache Software FoundationMicrosoft
Initial release20162010200020152019
Current release8.6, January 202315.5, September 2020Apache Ignite 2.6cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++, Java, .Net
Server operating systemshostedAll OS with a Java VMLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nonono infoXML can be used for describing objects metadatayesyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subset
APIs and other access methodsHTTP RESTJava API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoyesyesyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, R
Triggersyesyes infoby using the 'percolation' featureyes, event driven architectureyes (cache interceptors and events)yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectorES-Hadoop Connectoryes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
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.noMemcached and Redis integrationyesyesno
User concepts infoAccess controlAlibaba Cloud user access controlRole-based access controlSecurity Hooks for custom implementationsAzure Active Directory Authentication
More information provided by the system vendor
Alibaba Cloud Log ServiceElasticsearchGigaSpacesIgniteMicrosoft Azure Data Explorer
Specific characteristicsA real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
Competitive advantages* Ease of use: Completes data collections from more than 30 data sources within five...
» more
Typical application scenarios* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Key customers* Alibaba & Ant-Finance:he infrastructure service for the Corp * Over 22k Subscriber...
» more
Licensing and pricing modelsPay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more

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Alibaba Cloud Log ServiceElasticsearchGigaSpacesIgniteMicrosoft Azure Data Explorer
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