DBMS > Cachelot.io vs. GeoMesa vs. Google Cloud Bigtable vs. SAP Advantage Database Server

System Properties Comparison Cachelot.io vs. GeoMesa vs. Google Cloud Bigtable vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Cachelot.io  Xexclude from comparison	GeoMesa  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	In-memory caching system	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Key-value store	Spatial DBMS	Key-value store Wide column store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.86 Rank #205   Overall #4   Spatial DBMS	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores
Website	cachelot.io	www.geomesa.org	cloud.google.com/­bigtable	www.sap.com/products/advantage-database-server.html
Technical documentation		www.geomesa.org/­documentation/­stable/­user/­index.html	cloud.google.com/­bigtable/­docs
Developer		CCRi and others	Google	Sybase, SAP
Initial release	2015	2014	2015	1993
Current release		5.0.0, May 2024
License Commercial or Open Source	Open Source Simplified BSD License	Open Source Apache License 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
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Implementation language	C++	Scala
Server operating systems	FreeBSD Linux OS X		hosted	Linux Windows
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	no	yes	no	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.	no	no	no	no
Secondary indexes	no	yes	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	Memcached protocol		gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby		C# C++ Go Java JavaScript (Node.js) Python	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none	depending on storage layer	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	none	depending on storage layer	Internal replication in Colossus, and regional replication between two clusters in different zones	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	none	depending on storage layer	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	Atomic single-row operations	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	no	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	depending on storage layer	no	no caching of (temporary) tables can be configured
User concepts Access control	no	yes depending on the DBMS used for storage	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	fine grained access rights according to SQL-standard
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More resources
	Cachelot.io	GeoMesa	Google Cloud Bigtable	SAP Advantage Database Server former name: Sybase ADS
DB-Engines blog posts		Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news			Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs 31 January 2022, InfoQ.com Google scales up Cloud Bigtable NoSQL database 27 January 2022, TechTarget Review: Google Bigtable scales with ease 7 September 2016, InfoWorld Google Cloud makes it cheaper to run smaller workloads on Bigtable 7 April 2020, TechCrunch Google introduces Cloud Bigtable managed NoSQL database to process data at scale 6 May 2015, VentureBeat provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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