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DBMS > Amazon Aurora vs. EJDB vs. RisingWave vs. ScyllaDB

System Properties Comparison Amazon Aurora vs. EJDB vs. RisingWave vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEJDB  Xexclude from comparisonRisingWave  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed RDBMS for stream processing, wire-compatible with PostgreSQLCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSDocument storeRelational DBMSWide column store
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websiteaws.amazon.com/­rds/­auroragithub.com/­Softmotions/­ejdbwww.risingwave.com/­databasewww.scylladb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.risingwave.com/­docs/­current/­introdocs.scylladb.com
DeveloperAmazonSoftmotionsRisingWave LabsScyllaDB
Initial release2015201220222015
Current release1.2, September 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCRustC++
Server operating systemshostedserver-lessDocker
Linux
macOS
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idStandard SQL-types and JSONyes
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.yesnono
Secondary indexesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsADO.NET
JDBC
ODBC
in-process shared libraryJDBC
PostgreSQL wire protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyesnoUDFs in Python or Javayes, Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
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.yesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and RolesAccess rights for users can be defined per object
More information provided by the system vendor
Amazon AuroraEJDBRisingWaveScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Amazon AuroraEJDBRisingWaveScyllaDB
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