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DBMS > dBASE vs. Redis vs. Spark SQL vs. TDengine

System Properties Comparison dBASE vs. Redis vs. Spark SQL vs. TDengine

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonRedis  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  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.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Spark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSTime Series DBMS
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.dbase.comredis.com
redis.io
spark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.redis.com/­latest/­index.html
redis.io/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperAsthon TateRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Apache Software FoundationTDEngine, previously Taos Data
Initial release1979200920142019
Current releasedBASE 2019, 20197.2.4, January 20243.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
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.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageCScalaC
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 infowith RediSearch modulenono
SQL infoSupport of SQLnowith RediSQL moduleSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesdBase proprietary IDEC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.Lua; Redis Functions coming in Redis 7 (slides and Github)nono
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
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 DBMSAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
noyes
More information provided by the system vendor
dBASERedisSpark SQLTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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