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DBMS > Amazon SimpleDB vs. DolphinDB vs. jBASE vs. YugabyteDB

System Properties Comparison Amazon SimpleDB vs. DolphinDB vs. jBASE vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonjBASE  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A robust multi-value DBMS comprising development tools and middlewareHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#134  Overall
#23  Key-value stores
Score2.60
Rank#102  Overall
#8  Time Series DBMS
#6  Vector DBMS
Score1.39
Rank#154  Overall
#3  Multivalue DBMS
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.dolphindb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.yugabyte.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperAmazonDolphinDB, IncRocket Software (formerly Zumasys)Yugabyte Inc.
Initial release2007201819912017
Current releasev2.00.4, January 20225.72.19, September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoApache 2.0
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.
Implementation languageC++C and C++
Server operating systemshostedLinux
Windows
AIX
Linux
Windows
Linux
OS X
Data schemeschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyesoptionalyes
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoSQL-like query languageEmbedded SQL for jBASE in BASICyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Basic
Jabbascript
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesyesyes infosql, plpgsql, C
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, GroupsAccess rights can be defined down to the item levelyes

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More resources
Amazon SimpleDBDolphinDBjBASEYugabyteDB
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