DBMS > Hypertable vs. SAP SQL Anywhere vs. Sphinx

System Properties Comparison Hypertable vs. SAP SQL Anywhere vs. Sphinx

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Editorial information provided by DB-Engines
Name	Hypertable  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison	Sphinx  Xexclude from comparison
	Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
Description	An open source BigTable implementation based on distributed file systems such as Hadoop	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments	Open source search engine for searching in data from different sources, e.g. relational databases
Primary database model	Wide column store	Relational DBMS	Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.62 Rank #72   Overall #40   Relational DBMS	Score 7.29 Rank #60   Overall #8   Search engines
Website		www.sap.com/­products/­sql-anywhere.html	sphinxsearch.com
Technical documentation		help.sap.com/­sql-anywhere	sphinxsearch.com/­docs
Developer	Hypertable Inc.	SAP formerly Sybase	Sphinx Technologies Inc.
Initial release	2009	1992	2001
Current release	0.9.8.11, March 2016	17, July 2015	3.4.1, July 2021
License Commercial or Open Source	Open Source GNU version 3. Commercial license available	commercial	Open Source GPL version 2, commercial licence available
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++		C++
Server operating systems	Linux OS X Windows an inofficial Windows port is available	AIX HP-UX Linux OS X Solaris Windows	FreeBSD Linux NetBSD OS X Solaris Windows
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	no	yes	no
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
Secondary indexes	restricted only exact value or prefix value scans	yes	yes full-text index on all search fields
SQL Support of SQL	no	yes	SQL-like query language (SphinxQL)
APIs and other access methods	C++ API Thrift	ADO.NET HTTP API JDBC ODBC	Proprietary protocol
Supported programming languages	C++ Java Perl PHP Python Ruby	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library
Server-side scripts Stored procedures	no	yes, in C/C++, Java, .Net or Perl	no
Triggers	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	none	Sharding Partitioning is done manually, search queries against distributed index is supported
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor on file system level	Source-replica replication Database mirroring	none
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	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes The original contents of fields are not stored in the Sphinx index.
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes
User concepts Access control	no	fine grained access rights according to SQL-standard	no
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More resources
	Hypertable	SAP SQL Anywhere formerly called Adaptive Server Anywhere	Sphinx
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