DBMS > Alibaba Cloud TSDB vs. FileMaker vs. HEAVY.AI vs. Lovefield

System Properties Comparison Alibaba Cloud TSDB vs. FileMaker vs. HEAVY.AI vs. Lovefield

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Editorial information provided by DB-Engines

Name

Description

A stable, reliable, and cost-effective online high-performance time series database service

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Embeddable relational database for web apps written in pure JavaScript

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.24
Rank	#312	Overall
	#27	Time Series DBMS

Score	49.73
Rank	#20	Overall
	#14	Relational DBMS

Score	2.10
Rank	#126	Overall
	#61	Relational DBMS

Score	0.32
Rank	#290	Overall
	#132	Relational DBMS

Website

www.alibabacloud.com/product/hitsdb

www.claris.com/filemaker

github.com/heavyai/heavydb
www.heavy.ai

google.github.io/lovefield

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

www.claris.com/resources/documentation

docs.heavy.ai

github.com/google/lovefield/blob/master/docs/spec_index.md

Developer

Alibaba

Claris

a subsidiary of Apple

HEAVY.AI, Inc.

Google

Initial release

1983

2016

2014

Current release

19.4.1, November 2021

5.10, January 2022

2.1.12, February 2017

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; enterprise edition available

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++ and CUDA

JavaScript

Server operating systems

hosted

iOS

client part only
Linux
OS X
Windows

Linux

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Numeric data and Strings

yes

XML support

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

yes

A http query request can return the data in XML format

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

yes

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

HTTP REST

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC
Thrift
Vega

Supported programming languages

Java

PHP

All languages supporting JDBC/ODBC/Thrift
Python

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Round robin

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

Access managed on TSDB instance level

simple rights management via user accounts and connection to external directory services

fine grained access rights according to SQL-standard

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