DBMS > Amazon CloudSearch vs. Microsoft SQL Server vs. YugabyteDB
System Properties Comparison Amazon CloudSearch vs. Microsoft SQL Server vs. YugabyteDB
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|Editorial information provided by DB-Engines|
|Name||Amazon CloudSearch Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||YugabyteDB Xexclude from comparison|
|Description||A hosted search engine service by Amazon with the data stored in Amazons cloud||Microsofts relational DBMS||High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.|
|Primary database model||Search engine||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
Wide column store
|Current release||SQL Server 2019, November 2019||2.0.10, January 2020|
|License Commercial or Open Source||commercial||commercial restricted free version is available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++||C and C++|
|Server operating systems||hosted||Linux|
|Data scheme||yes||yes||depending on used data model|
|Typing predefined data types such as float or date||yes||yes||yes|
|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.||yes||no|
|Secondary indexes||yes all search fields are automatically indexed||yes||yes|
|SQL Support of SQL||no||yes||yes, PostgreSQL compatible|
|APIs and other access methods||HTTP API||ADO.NET|
Tabular Data Stream (TDS)
|YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language|
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes sql, plpgsql, C|
|Partitioning methods Methods for storing different data on different nodes||yes automatic partitioning across Amazon Search Instance as required||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes managed transparently by AWS||yes, but depending on the SQL-Server Edition||Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Strong consistency on writes and tunable consistency on reads|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes based on RocksDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||authentication via encrypted signatures||fine grained access rights according to SQL-standard||yes|
More information provided by the system vendor
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|Amazon CloudSearch||Microsoft SQL Server||YugabyteDB|
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