DBMS > AnzoGraph DB vs. Google Cloud Bigtable
System Properties Comparison AnzoGraph DB vs. Google Cloud Bigtable
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|Editorial information provided by DB-Engines|
|Name||AnzoGraph DB Xexclude from comparison||Google Cloud Bigtable Xexclude from comparison|
|Description||Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization||Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.|
|Primary database model||Graph DBMS|
Wide column store
|Current release||2.3, January 2021|
|License Commercial or Open Source||commercial free trial version available||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||hosted|
|Data scheme||Schema-free and OWL/RDFS-schema support||schema-free|
|Typing predefined data types such as float or date||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.||no||no|
|SQL Support of SQL||SPARQL and SPARQL* as primary query language. Cypher preview.||no|
|APIs and other access methods||Apache Mule|
OData access for BI tools
RESTful HTTP API
|gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions and aggregates||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication in MPP-Cluster||Internal replication in Colossus, and regional replication between two clusters in different zones|
|MapReduce Offers an API for user-defined Map/Reduce methods||Kerberos/HDFS data loading||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency in MPP-Cluster||Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)|
|Foreign keys Referential integrity||no not needed in graphs||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Atomic single-row operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|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||Access rights for users and roles||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|AnzoGraph DB||Google Cloud Bigtable|
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