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DBMS > Alibaba Cloud MaxCompute vs. Apache Drill vs. Faircom DB vs. Kyligence Enterprise vs. YottaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Drill vs. Faircom DB vs. Kyligence Enterprise vs. YottaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Drill  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A distributed analytics engine for big data, built on top of Apache KylinA fast and solid embedded Key-value store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputedrill.apache.orgwww.faircom.com/­products/­faircom-dbkyligence.io/­kyligence-enterpriseyottadb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedrill.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlyottadb.com/­resources/­documentation
DeveloperAlibabaApache Software FoundationFairCom CorporationKyligence, Inc.YottaDB, LLC
Initial release20162012197920162001
Current release1.20.3, January 2023V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoRestricted, free version availablecommercialOpen Source infoAGPL 3.0
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 languageANSI C, C++JavaC
Server operating systemshostedLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxDocker
Linux
Data schemeyesschema-freeschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyesno
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.nonononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL SELECT statement is SQL:2003 compliantyes, ANSI SQL with proprietary extensionsANSI SQL for queries (using Apache Calcite)by using the Octo plugin
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJavaC++.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsyes info.Net, JavaScript, C/C++
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonotunable from ACID to Eventually Consistentoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyesnoyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceFine grained access rights according to SQL-standard with additional protections for filesUsers and groups based on OS-security mechanisms

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More resources
Alibaba Cloud MaxComputeApache DrillFaircom DB infoformerly c-treeACEKyligence EnterpriseYottaDB
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