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DBMS > LeanXcale vs. RisingWave vs. Teradata Aster

System Properties Comparison LeanXcale vs. RisingWave vs. Teradata Aster

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA distributed RDBMS for stream processing, wire-compatible with PostgreSQLPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.leanxcale.comwww.risingwave.com/­database
Technical documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperLeanXcaleRisingWave LabsTeradata
Initial release201520222005
Current release1.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemsDocker
Linux
macOS
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateStandard 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.noyes infoin Aster File Store
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyesyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresUDFs in Python or JavaR packages
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers and Rolesfine grained access rights according to SQL-standard

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More resources
LeanXcaleRisingWaveTeradata Aster
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