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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. HugeGraph vs. QuestDB vs. Spark SQL

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. HugeGraph vs. QuestDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA fast-speed and highly-scalable Graph DBMSA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­hugegraph
hugegraph.apache.org
questdb.iospark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmhugegraph.apache.org/­docsquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAtos Convergence CreatorsBaiduQuestDB Technology IncApache Software Foundation
Initial release2016201820142014
Current release17030.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 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.
Implementation languageJavaJavaJava (Zero-GC), C++, RustScala
Server operating systemshostedLinuxLinux
macOS
Unix
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesyesnonono
Secondary indexesyesyesyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLyesnonoSQL with time-series extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
LDAPJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Python
All languages with LDAP bindingsGroovy
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsnono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID for single-table writesno
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.yesyesyesyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationUsers, roles and permissionsno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryHugeGraphQuestDBSpark SQL
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Alibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryHugeGraphQuestDBSpark SQL
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