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DBMS > Alibaba Cloud Log Service vs. Datastax Enterprise vs. Ehcache vs. Heroic vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud Log Service vs. Datastax Enterprise vs. Ehcache vs. Heroic vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonEhcache  Xexclude from comparisonHeroic  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.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A widely adopted Java cache with tiered storage optionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platform
Primary database modelSearch engineWide column storeKey-value storeTime Series DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitewww.alibabacloud.com/­product/­log-servicewww.datastax.com/­products/­datastax-enterprisewww.ehcache.orggithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorer
Technical documentationwww.alibabacloud.com/­help/­en/­slsdocs.datastax.comwww.ehcache.org/­documentationspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAlibabaCloud Inc.DataStaxTerracotta Inc, owned by Software AGSpotifyMicrosoft
Initial release20162011200920142019
Current release6.8, April 20203.10.0, March 2022cloud service with continuous releases
License infoCommercial or Open SourcecommercialcommercialOpen 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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJava
Server operating systemshostedLinux
OS X
All OS with a Java VMhosted
Data schemeschema-freeschema-freeschema-freeschema-freeFixed 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.nonononoyes
Secondary indexesyesyesnoyes infovia Elasticsearchall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statements (CQL); Spark SQLnonoKusto Query Language (KQL), SQL subset
APIs and other access methodsHTTP RESTProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnonononoYes, possible languages: KQL, Python, R
Triggersyesyesyes infoCache Event Listenersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding infoby using Terracotta ServerShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoby using Terracotta Serveryesyes 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 ConnectoryesnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Tunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAlibaba Cloud user access controlAccess rights for users can be defined per objectnoAzure Active Directory Authentication
More information provided by the system vendor
Alibaba Cloud Log ServiceDatastax EnterpriseEhcacheHeroicMicrosoft Azure Data Explorer
Specific characteristicsA real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantages* Ease of use: Completes data collections from more than 30 data sources within five...
» more
Supporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenarios* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Applications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customers* Alibaba & Ant-Financeļ¼šhe infrastructure service for the Corp * Over 22k Subscriber...
» more
Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsPay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more
Annual subscription
» more

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Alibaba Cloud Log ServiceDatastax EnterpriseEhcacheHeroicMicrosoft Azure Data Explorer
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