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DBMS > AgensGraph vs. Databend vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison AgensGraph vs. Databend vs. dBASE vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatabend  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.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 modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitebitnine.net/­agensgraphgithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comcloud.google.com/­bigtable
Technical documentationbitnine.net/­documentationdocs.databend.comwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperBitnine Global Inc.Databend LabsAsthon TateGoogle
Initial release2016202119792015
Current release2.1, December 20181.0.59, April 2023dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCRust
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
hosted
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsCypher Query Language
JDBC
CLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnono infoThe IDE can access stored procedures in other database systems.no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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AgensGraphDatabenddBASEGoogle Cloud Bigtable
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