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  1. Stackups
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  4. Databases
  5. Apache Accumulo vs HBase

Apache Accumulo vs HBase

OverviewComparisonAlternatives

Overview

HBase
HBase
Stacks511
Followers498
Votes15
GitHub Stars5.5K
Forks3.4K
Apache Accumulo
Apache Accumulo
Stacks1
Followers6
Votes0

Apache Accumulo vs HBase: What are the differences?

Apache Accumulo and HBase are two popular and widely used NoSQL databases that are based on the Apache Hadoop ecosystem. Both databases are designed to handle the massive amount of data and provide scalable and distributed storage solutions. However, there are several key differences between Apache Accumulo and HBase that make them suitable for different use cases and scenarios. The following paragraphs highlight the key differences between these two databases.

  1. Data Model: Apache Accumulo and HBase have different data models. Accumulo uses a wide columnar data model, where data is organized in tables with rows and columns. Each table has a primary index based on the row key. On the other hand, HBase uses a columnar storage model, where data is stored in tables as key-value pairs. HBase uses the column family and column qualifiers to store and retrieve data.

  2. Cell-level Security: Accumulo provides built-in cell-level security, which means that access control and permissions can be set at the individual cell level. This allows for fine-grained security and access control, where different users or roles can have different levels of access to specific cells within a table. HBase, on the other hand, provides access control at the column family level, which is coarser-grained compared to Accumulo's cell-level security.

  3. Data Encryption: Accumulo supports data encryption at rest, which means that data stored in Accumulo can be encrypted to ensure confidentiality and data protection. This feature provides an added layer of security for sensitive data. HBase, on the other hand, does not provide built-in support for data encryption at rest, although encryption can be implemented at the storage layer using external tools.

  4. Iterators: Accumulo has a flexible data processing model through its use of iterators. Iterators allow users to define custom data processing logic that can be applied to data stored in Accumulo. This provides powerful data manipulation capabilities and the ability to apply complex processing tasks directly within the database. HBase does not provide a built-in iterator framework, limiting the flexibility of data processing operations.

  5. Concurrency Control: Accumulo has built-in support for optimistic concurrency control, which allows multiple clients to concurrently modify and access data while ensuring consistency and data integrity. This approach can provide better performance in scenarios where multiple clients need to access and modify the database simultaneously. HBase, on the other hand, uses pessimistic concurrency control, which can result in contention and potential performance issues in highly concurrent scenarios.

  6. Backup and Restore: Accumulo provides a built-in backup and restore feature, which enables the creation of full and incremental backups of tables and allows for point-in-time recovery. This provides an easy and efficient way to protect data and restore it in case of data loss or corruption. HBase, on the other hand, does not provide a built-in backup and restore feature, although external tools and processes can be used to achieve similar functionality.

In summary, Apache Accumulo and HBase differ in their data models, security models, encryption support, data processing capabilities, concurrency control mechanisms, and backup and restore features. These differences make them suitable for different use cases and scenarios.

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Detailed Comparison

HBase
HBase
Apache Accumulo
Apache Accumulo

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

Home page of The Apache Software Foundation

Statistics
GitHub Stars
5.5K
GitHub Stars
-
GitHub Forks
3.4K
GitHub Forks
-
Stacks
511
Stacks
1
Followers
498
Followers
6
Votes
15
Votes
0
Pros & Cons
Pros
  • 9
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries
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What are some alternatives to HBase, Apache Accumulo?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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