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DBMS > DuckDB vs. HBase vs. LeanXcale vs. Teradata Aster

System Properties Comparison DuckDB vs. HBase vs. LeanXcale vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHBase  Xexclude from comparisonLeanXcale  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.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSWide-column store based on Apache Hadoop and on concepts of BigTableA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websiteduckdb.orghbase.apache.orgwww.leanxcale.com
Technical documentationduckdb.org/­docshbase.apache.org/­book.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetLeanXcaleTeradata
Initial release2018200820152005
Current release1.0.0, June 20242.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsserver-lessLinux
Unix
Windows infousing Cygwin
Linux
Data schemeyesschema-free, schema definition possibleyesFlexible 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 dateyesoptions to bring your own types, AVROyes
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.nonoyes infoin Aster File Store
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes infothrough Apache Derbyyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
Java
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaR packages
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes 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 methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
DuckDBHBaseLeanXcaleTeradata Aster
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Recent citations in the news

MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse
11 June 2024, PR Newswire

DuckDB: The tiny but powerful analytics database
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5 June 2024, The Register

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
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23 May 2014, Northwestern Engineering

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