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DBMS > Apache Doris vs. Atos Standard Common Repository vs. LeanXcale vs. SiteWhere

System Properties Comparison Apache Doris vs. Atos Standard Common Repository vs. LeanXcale vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonLeanXcale  Xexclude from comparisonSiteWhere  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
atos.net/en/convergence-creators/portfolio/standard-common-repositorywww.leanxcale.comgithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­apache/­doris/­wikisitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduAtos Convergence CreatorsLeanXcaleSiteWhere
Initial release2017201620152010
Current release1.2.2, February 20231703
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyespredefined scheme
Typing infopredefined data types such as float or dateyesoptionalyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoyes infothrough Apache Derbyno
APIs and other access methodsJDBC
MySQL client
LDAPJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Supported programming languagesJavaAll languages with LDAP bindingsC
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationUsers with fine-grained authorization concept

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More resources
Apache DorisAtos Standard Common RepositoryLeanXcaleSiteWhere
Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

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24 June 2022, InfoWorld

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