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DBMS > Alibaba Cloud MaxCompute vs. Databricks vs. EsgynDB vs. LMDB vs. PostgreSQL

System Properties Comparison Alibaba Cloud MaxCompute vs. Databricks vs. EsgynDB vs. LMDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonLMDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingThe 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performant, light-weight, embedded key-value database libraryWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.databricks.comwww.esgyn.cnwww.symas.com/­symas-embedded-database-lmdbwww.postgresql.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.databricks.comwww.lmdb.tech/­docwww.postgresql.org/­docs
DeveloperAlibabaDatabricksEsgynSymasPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162013201520111989 info1989: Postgres, 1996: PostgreSQL
Current release0.9.32, January 202416.3, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaCC
Server operating systemshostedhostedLinuxLinux
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesnonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyesnoyes infostandard with numerous extensions
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaPython
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functions and aggregatesJava Stored Proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication between multi datacentersnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.nononoyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud MaxComputeDatabricksEsgynDBLMDBPostgreSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Alibaba Cloud MaxComputeDatabricksEsgynDBLMDBPostgreSQL
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