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DBMS > Apache Kylin vs. dBASE vs. DuckDB vs. Google Cloud Bigtable vs. HarperDB

System Properties Comparison Apache Kylin vs. dBASE vs. DuckDB vs. Google Cloud Bigtable vs. HarperDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisondBASE  Xexclude from comparisonDuckDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.An embeddable, in-process, column-oriented SQL OLAP RDBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.60
Rank#244  Overall
#38  Document stores
Websitekylin.apache.orgwww.dbase.comduckdb.orgcloud.google.com/­bigtablewww.harperdb.io
Technical documentationkylin.apache.org/­docswww.dbase.com/­support/­knowledgebaseduckdb.org/­docscloud.google.com/­bigtable/­docsdocs.harperdb.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncAsthon TateGoogleHarperDB
Initial release20151979201820152017
Current release3.1.0, July 2020dBASE 2019, 20190.10, February 20243.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT Licensecommercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Node.js
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
server-lesshostedLinux
OS X
Data schemeyesyesyesschema-freedynamic schema
Typing infopredefined data types such as float or dateyesyesyesnoyes infoJSON data types
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.nononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesnoSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesdBase proprietary IDEC
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++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoCustom Functions infosince release 3.1
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDAtomic single-row operationsAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
Apache KylindBASEDuckDBGoogle Cloud BigtableHarperDB
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