DBMS > Google Cloud Spanner vs. Sphinx vs. STSdb
System Properties Comparison Google Cloud Spanner vs. Sphinx vs. STSdb
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Spanner Xexclude from comparison||Sphinx Xexclude from comparison||STSdb Xexclude from comparison|
|Description||A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.||Open source search engine for searching in data from different sources, e.g. relational databases||Key-Value Store with special method for indexing optimized for high performance using a special indexing method|
|Primary database model||Relational DBMS||Search engine||Key-value store|
|Developer||Sphinx Technologies Inc.||STS Soft SC|
|Current release||3.4.1, July 2021||4.0.8, September 2015|
|License Commercial or Open Source||commercial||Open Source GPL version 2, commercial licence available||Open Source GPLv2, commercial license available|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||no||yes primitive types and user defined types (classes)|
|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|
|Secondary indexes||yes||yes full-text index on all search fields||no|
|SQL Support of SQL||yes Query statements complying to ANSI 2011||SQL-like query language (SphinxQL)||no|
|APIs and other access methods||gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
|Proprietary protocol||.NET Client API|
|Supported programming languages||Go|
|C++ unofficial client library|
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures||no||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Partitioning is done manually, search queries against distributed index is supported||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.||none||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Strict serializable isolation||no||no|
|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|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||no||no|
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|Google Cloud Spanner||Sphinx||STSdb|
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