DBMS > Alibaba Cloud MaxCompute vs. Sphinx vs. TimescaleDB
System Properties Comparison Alibaba Cloud MaxCompute vs. Sphinx vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud MaxCompute Xexclude from comparison||Sphinx Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing||Open source search engine for searching in data from different sources, e.g. relational databases||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Relational DBMS a graph-processing framework is available with the graphs being stored in tables||Search engine||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Alibaba||Sphinx Technologies Inc.||Timescale|
|Current release||3.4.1, July 2021||2.6.0, February 2022|
|License Commercial or Open Source||commercial||Open Source GPL version 2, commercial licence available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||no||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes|
|Secondary indexes||no||yes full-text index on all search fields||yes|
|SQL Support of SQL||SQL-like query language||SQL-like query language (SphinxQL)||yes full PostgreSQL SQL syntax|
|APIs and other access methods||Fluentd|
native C library
streaming API for large objects
|Supported programming languages||Java||C++ unofficial client library|
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures||user defined functions in Java||no||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding Partitioning is done manually, search queries against distributed index is supported||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||none||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes The original contents of fields are not stored in the Sphinx index.||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users and roles||no||fine grained access rights according to SQL-standard|
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|Alibaba Cloud MaxCompute||Sphinx||TimescaleDB|
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