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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. Databricks vs. Microsoft Access vs. Newts

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. Databricks vs. Microsoft Access vs. Newts

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe 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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS based on Cassandra
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgwww.databricks.comwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newts
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designdocs.databricks.comdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wiki
DeveloperAlibabaApache Software Foundation and contributorsDatabricksMicrosoftOpenNMS Group
Initial release20162012201319922014
Current release29.0.1, April 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedLinux
OS X
Unix
hostedWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL for queryingwith Databricks SQLyes infobut not compliant to any SQL standardno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesyesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
Alibaba Cloud MaxComputeApache DruidDatabricksMicrosoft AccessNewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Alibaba Cloud MaxComputeApache DruidDatabricksMicrosoft AccessNewts
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