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DBMS > Alibaba Cloud MaxCompute vs. LeanXcale vs. Vertica

System Properties Comparison Alibaba Cloud MaxCompute vs. LeanXcale vs. Vertica

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonLeanXcale  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesCloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value store
Relational DBMS
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#217  Overall
#105  Relational DBMS
Score0.17
Rank#297  Overall
#43  Key-value stores
#138  Relational DBMS
Score19.04
Rank#38  Overall
#24  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.leanxcale.comwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmvertica.com/­documentation
DeveloperAlibabaLeanXcaleMicro Focus infoprior to that Hewlett Packard
Initial release201620152005
Current release11.1, February 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageC++
Server operating systemshostedLinux
Data schemeyesyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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.nono
Secondary indexesnoNo Indexes Required
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache DerbyFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaC
Java
Scala
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud MaxComputeLeanXcaleVertica infoVertica Analytics Platform
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
Alibaba Cloud MaxComputeLeanXcaleVertica infoVertica Analytics Platform
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