DBMS > Datastax Enterprise vs. Interbase vs. Redis vs. SAP SQL Anywhere vs. TimescaleDB

System Properties Comparison Datastax Enterprise vs. Interbase vs. Redis vs. SAP SQL Anywhere vs. TimescaleDB

Editorial information provided by DB-Engines

Name

Description

DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.

Light-weight proven RDBMS info

originally from Borland

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

Primary database model

Wide column store

Relational DBMS

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Relational DBMS

Time Series DBMS

Secondary database models

Document store
Graph DBMS

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	8.66
Rank	#44	Overall
	#4	Wide column stores

Score	6.63
Rank	#52	Overall
	#30	Relational DBMS

Score	148.75
Rank	#8	Overall
	#1	Key-value stores

Score	5.79
Rank	#56	Overall
	#32	Relational DBMS

Score	1.92
Rank	#114	Overall
	#7	Time Series DBMS

Website

www.datastax.com/products/datastax-enterprise

www.embarcadero.com/products/interbase

redis.io

www.sap.com/products/sql-anywhere.html

www.timescale.com

Technical documentation

docs.datastax.com

docs.embarcadero.com/products/interbase

redis.io/documentation

help.sap.com/sql-anywhere

docs.timescale.com

Developer

DataStax

Embarcadero

Salvatore Sanfilippo info

Development sponsored by Redis Labs

SAP

formerly Sybase

Timescale

Initial release

2011

1984

2009

1992

2017

Current release

6.7, December 2018

InterBase 2017, March 2017

5.0.7, November 2019

17, July 2015

License

Commercial or Open Source

commercial

Open Source info

BSD 3-Clause, commercial license available

commercial

Open Source info

Apache 2.0

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
OS X

Android
iOS
Linux
OS X
Windows

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

AIX
HP-UX
Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

export as XML data possible

yes

Secondary indexes

yes

with RediSearch module

yes

SQL

Support of SQL

SQL-like DML and DDL statements (CQL); Spark SQL

yes

full PostgreSQL SQL syntax

APIs and other access methods

Proprietary protocol info

CQL (Cassandra Query Language)
TinkerPop Gremlin info

with DSE Graph

ADO.NET
JDBC
ODBC

proprietary protocol info

RESP - REdis Serialization Protocol

ADO.NET
HTTP API
JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

C
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

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
C
C++
Delphi
Java info

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

Server-side scripts info

Stored procedures

yes

Interbase procedure and trigger language

Lua

yes, in C/C++, Java, .Net or Perl

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

none

yes, across time and space (hash partitioning) attributes

Replication methods info

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware, advanced replication for edge computing

Interbase Change Views

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

Master-slave replication info

Database mirroring

Master-slave replication with hot standby and reads on slaves info

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency info

consistency level can be individually decided with each write operation

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Atomicity and isolation are supported for single operations

ACID

Optimistic locking, atomic execution of commands blocks and scripts

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights for users can be defined per object

fine grained access rights according to SQL-standard

Simple password-based access control info

Access control lists and SSL are available in the commercial version

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

100% continuous availability, real-time, distributed, massive scale data management...
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TimescaleDB is the first open-source time-series database that combines the reliability,...
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Competitive advantages

Supporting the following application requirements: Contextual: complete data layer...
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TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
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Typical application scenarios

Applications that must serve contextual information and be always-on, distributed,...
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IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
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Key customers

Capital One, Cisco, Comcast, eBay, McDonaldâ€™s, Microsoft, Safeway, Sony, UBS, and...
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Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
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Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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1.8 million+ downloads, 7,500+ Github stars
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Licensing and pricing models

Annual subscription
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Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
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