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DBMS > Alibaba Cloud Log Service vs. Atos Standard Common Repository vs. Databricks vs. QuestDB vs. TinkerGraph

System Properties Comparison Alibaba Cloud Log Service vs. Atos Standard Common Repository vs. Databricks vs. QuestDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameAlibaba Cloud Log Service  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonQuestDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high performance open source SQL database for time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineDocument store
Key-value store
Document store
Relational DBMS
Time Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#267  Overall
#18  Search engines
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitewww.alibabacloud.com/­product/­log-serviceatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comquestdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.alibabacloud.com/­help/­en/­slsdocs.databricks.comquestdb.io/­docs
DeveloperAlibabaCloud Inc.Atos Convergence CreatorsDatabricksQuestDB Technology Inc
Initial release20162016201320142009
Current release1703
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava (Zero-GC), C++, RustJava
Server operating systemshostedLinuxhostedLinux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL for queryingnowith Databricks SQLSQL with time-series extensionsno
APIs and other access methodsHTTP RESTLDAPJDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
TinkerPop 3
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Groovy
Java
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodes3 replicasyesyesSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infothrough memory mapped filesyes
User concepts infoAccess controlAlibaba Cloud user access controlLDAP bind authenticationno
More information provided by the system vendor
Alibaba Cloud Log ServiceAtos Standard Common RepositoryDatabricksQuestDBTinkerGraph
Specific characteristicsA real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
Supported database models : In addition to the Document store and Relational DBMS...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantages* Ease of use: Completes data collections from more than 30 data sources within five...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenarios* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customers* Alibaba & Ant-Finance:he infrastructure service for the Corp * Over 22k Subscriber...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsPay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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