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DBMS > LeanXcale vs. Quasardb vs. RisingWave

System Properties Comparison LeanXcale vs. Quasardb vs. RisingWave

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDistributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.leanxcale.comquasar.aiwww.risingwave.com/­database
Technical documentationdoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­intro
DeveloperLeanXcalequasardbRisingWave Labs
Initial release201520092022
Current release3.14.1, January 20241.2, September 2023
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
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 languageC++Rust
Server operating systemsBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binaryStandard SQL-types and JSON
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.nono
Secondary indexesyes infowith tagsyes
SQL infoSupport of SQLyes infothrough Apache DerbySQL-like query languageyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP APIJDBC
PostgreSQL wire protocol
Supported programming languagesC
Java
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoUDFs in Python or Java
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailUsers and Roles

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More resources
LeanXcaleQuasardbRisingWave
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