DBMS > Amazon DocumentDB vs. Apache Pinot vs. FileMaker vs. LeanXcale

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. FileMaker vs. LeanXcale

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Editorial information provided by DB-Engines

Name

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

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

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Primary database model

Document store

Relational DBMS

Key-value store
Relational DBMS

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

Score	1.91
Rank	#132	Overall
	#24	Document stores

Score	0.40
Rank	#270	Overall
	#125	Relational DBMS

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.29
Rank	#291	Overall
	#41	Key-value stores
	#132	Relational DBMS

Website

aws.amazon.com/documentdb

pinot.apache.org

www.claris.com/filemaker

www.leanxcale.com

Technical documentation

aws.amazon.com/documentdb/resources

docs.pinot.apache.org

www.claris.com/resources/documentation

Developer

Apache Software Foundation and contributors

Claris

a subsidiary of Apple

LeanXcale

Initial release

2019

2015

1983

2015

Current release

1.0.0, September 2023

19.4.1, November 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

hosted

All OS with a Java JDK11 or higher

iOS

client part only
Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

SQL-like query language

yes

via plugins

yes

through Apache Derby

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

JDBC

Filemaker WebDirect
JDBC
ODBC

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

Go
Java
Python

PHP

C
Java
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

Source-replica replication, warm standby

since Version 14

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

yes

Transaction concepts

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

Atomic single-document operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

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

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More resources

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