DBMS > Apache Pinot vs. FileMaker vs. Hypertable vs. Transwarp Hippo

System Properties Comparison Apache Pinot vs. FileMaker vs. Hypertable vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

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

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

An open source BigTable implementation based on distributed file systems such as Hadoop

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Relational DBMS

Wide column store

Vector DBMS

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

Score	0.40
Rank	#270	Overall
	#125	Relational DBMS

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

pinot.apache.org

www.claris.com/filemaker

www.transwarp.cn/en/subproduct/hippo

Technical documentation

docs.pinot.apache.org

www.claris.com/resources/documentation

Developer

Apache Software Foundation and contributors

Claris

a subsidiary of Apple

Hypertable Inc.

Initial release

2015

1983

2009

2023

Current release

1.0.0, September 2023

19.4.1, November 2021

0.9.8.11, March 2016

1.0, May 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

GNU version 3. Commercial license available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java JDK11 or higher

iOS

client part only
Linux
OS X
Windows

Linux
OS X
Windows

an inofficial Windows port is available

Linux
macOS

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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

restricted

only exact value or prefix value scans

SQL

Support of SQL

SQL-like query language

yes

via plugins

APIs and other access methods

JDBC

Filemaker WebDirect
JDBC
ODBC

C++ API
Thrift

RESTful HTTP API

Supported programming languages

Go
Java
Python

PHP

C++
Java
Perl
PHP
Python
Ruby

C++
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

selectable replication factor on file system level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

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

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

Role based access control and fine grained access rights

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