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DBMS > AgensGraph vs. Amazon Aurora vs. Databricks

System Properties Comparison AgensGraph vs. Amazon Aurora vs. Databricks

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#318  Overall
#27  Graph DBMS
#142  Relational DBMS
Score8.28
Rank#43  Overall
#27  Relational DBMS
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­rds/­aurorawww.databricks.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
docs.databricks.com
Social network pagesLinkedIn
DeveloperBitnine Global Inc.AmazonDatabricks
Initial release201620152013
Current release2.1, December 2018Aurora DSQL, November 2024 (preview), PostgreSQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraPostgreSQLReleaseNotes/­AuroraPostgreSQL.Updates.html , MySQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraMySQLReleaseNotes/­AuroraMySQL.release-calendars.html
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPostgreSQL/MySQL: C, C++, Aurora DSQL: Rust
Server operating systemsLinux
OS X
Windows
Amazon Linuxhosted
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes, MySQL and PostgreSQL dialectswith Databricks SQL
APIs and other access methodsCypher Query Language
JDBC
DSQL API: docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­CHAP_api_reference.html
MySQL wire protocol
PostgreSQL wire protocol
RDS Data API: docs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­ProgrammingGuide.html
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
Python
R
Scala
Server-side scripts infoStored proceduresyesPL/pgSQL, MySQL stored program language, APG trusted language extensionsuser defined functions and aggregates
TriggersnoAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationFull replication
Logical replication
Snapshot replication
Transactional replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate/Strong Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Multi-statementACID
Concurrency infoSupport for concurrent manipulation of datayesMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yes
Durability infoSupport for making data persistentyesData is replicated across 3 Availability Zones (AZs) within a single AWS Region. Active-active multi-Region high availability across 3 Regions (2 active, 1 witness) and automated failover recovery with Aurora DSQL. Automated, continuous backup of data with point in time restore. Fault-tolerant, self-healing storage system.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based permissions
Row level security
More information provided by the system vendor
AgensGraphAmazon AuroraDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AgensGraphAmazon AuroraDatabricks
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