DBMS > Google Cloud Bigtable vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

System Properties Comparison Google Cloud Bigtable vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Google Cloud Bigtable  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	HugeGraph  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	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A fast-speed and highly-scalable Graph DBMS	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Key-value store Wide column store	Time Series DBMS	Graph DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.17 Rank #335   Overall #31   Graph DBMS
Website	cloud.google.com/­bigtable	www.hawkular.org	github.com/­hugegraph hugegraph.apache.org	www.sap.com/products/advantage-database-server.html
Technical documentation	cloud.google.com/­bigtable/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	hugegraph.apache.org/­docs
Developer	Google	Community supported by Red Hat	Baidu	Sybase, SAP
Initial release	2015	2014	2018	1993
Current release			0.9
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	Java
Server operating systems	hosted	Linux OS X Windows	Linux macOS Unix	Linux Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	no	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.	no	no	no	no
Secondary indexes	no	no	yes also supports composite index and range index	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	HTTP REST	Java API RESTful HTTP API TinkerPop Gremlin	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	C# C++ Go Java JavaScript (Node.js) Python	Go Java Python Ruby	Groovy Java Python	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	asynchronous Gremlin script jobs	yes
Triggers	no	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	none
Replication methods Methods for redundantly storing data on multiple nodes	Internal replication in Colossus, and regional replication between two clusters in different zones	selectable replication factor based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	via hugegraph-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes edges in graph	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	yes	no caching of (temporary) tables can be configured
User concepts Access control	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	no	Users, roles and permissions	fine grained access rights according to SQL-standard
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More resources
	Google Cloud Bigtable	Hawkular Metrics	HugeGraph	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes 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 Google introduces Cloud Bigtable managed NoSQL database to process data at scale 6 May 2015, VentureBeat Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database 6 May 2015, TechCrunch provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code 23 April 2024, GBHackers 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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