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DBMS > dBASE vs. Elasticsearch vs. Firebolt vs. Google Cloud Bigtable vs. NSDb

System Properties Comparison dBASE vs. Elasticsearch vs. Firebolt vs. Google Cloud Bigtable vs. NSDb

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptiondBase 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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSearch engineRelational DBMSKey-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.dbase.comwww.elastic.co/­elasticsearchwww.firebolt.iocloud.google.com/­bigtablensdb.io
Technical documentationwww.dbase.com/­support/­knowledgebasewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.firebolt.iocloud.google.com/­bigtable/­docsnsdb.io/­Architecture
DeveloperAsthon TateElasticFirebolt Analytics Inc.Google
Initial release19792010202020152017
Current releasedBASE 2019, 20198.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Scala
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
All OS with a Java VMhostedhostedLinux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes: int, bigint, decimal, string
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageyesnoSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Java API
RESTful HTTP/JSON API
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
Supported programming languagesdBase proprietary IDE.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnonono
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual 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 DBMSnoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
dBASEElasticsearchFireboltGoogle Cloud BigtableNSDb
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