DBMS > Apache HBase vs. Heroic vs. LeanXcale

System Properties Comparison Apache HBase vs. Heroic vs. LeanXcale

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

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

Primary database model

Wide column store

Time Series DBMS

Key-value store
Relational DBMS

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

Score	22.12
Rank	#27	Overall
	#3	Wide column stores

Score	0.02
Rank	#364	Overall
	#39	Time Series DBMS

Score	0.23
Rank	#298	Overall
	#43	Key-value stores
	#134	Relational DBMS

Website

hbase.apache.org

github.com/spotify/heroic

www.leanxcale.com

Technical documentation

hbase.apache.org/book.html

spotify.github.io/heroic

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Spotify

LeanXcale

Initial release

2008

2014

2015

Current release

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

Linux
Unix
Windows

using Cygwin

Data scheme

schema-free, schema definition possible

schema-free

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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.

Secondary indexes

yes

via Elasticsearch

SQL

Support of SQL

yes

through Apache Derby

APIs and other access methods

Java API
RESTful HTTP API
Thrift

HQL (Heroic Query Language, a JSON-based language)
HTTP API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
Java
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Single row ACID (across millions of columns)

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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Apache HBase online migration to Amazon EMR | Amazon Web Services
23 October 2024, Amazon Web Services (AWS)

How to interact with HBase using HBase shell [Tutorial]
23 October 2024, Packt

Cost and Performance Advantages of Replacing HBase with TencentDB TDSQL TDStore Engine in Historical Data Scenarios
22 April 2025, thewire.in

Implement Amazon EMR HBase Graceful Scaling | Amazon Web Services
18 March 2025, Amazon Web Services (AWS)

Pinterest Shuts down One of the World's Largest HBase Deployments
22 June 2024, infoq.com

provided by Google News

How Code Wizards load tested Heroic Labs’ Nakama to two million concurrent players with AWS
1 October 2024, Amazon Web Services (AWS)

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

FinDEVr Preview: LeanXcale
1 June 2017, Finovate

provided by Google News

Share this page