Bigstring

Bigstring

Bigstring is an open-source database designed for storing and managing large volumes of string data. It is optimized for high-speed ingestion and retrieval of string data types such as text, JSON, HTML, XML, and log files.
opensource database string-data text json html xml log-files

Bigstring: Open-Source Database

High-Speed Ingestion and Retrieval of String Data Types - Text, JSON, HTML, XML, Log Files

What is Bigstring?

Bigstring is an open-source, high-performance NoSQL database optimized for storing and managing large volumes of string data. It is designed to provide fast ingestion speeds and low-latency queries for unstructured text data.

Unlike traditional databases which treat strings as blobs, Bigstring organizes string data into keywords and utilizes powerful indexing structures to deliver blazing-fast searches across terabytes of text. It supports full-text search, faceted search, highlighted search results and more right out of the box.

Some key capabilities and benefits of Bigstring include:

  • High-speed ingestion of string data from files, streams or applications
  • Advanced compression for reduced storage costs
  • Support for data volumes ranging from gigabytes to petabytes
  • Horizontal scalability across clusters for increased query capacity
  • Native integration with Hadoop and Spark for large-scale processing
  • Geo-replication and sharding for high availability
  • tunable consistency controls for system tradeoffs
  • Query results with highlighted search keyword matches
  • And more...

With its specialized text indexing and query execution, Bigstring can help organizations unlock value from massive volumes of untapped string data across applications like log analysis, IoT data, clickstream analytics, content management and more.

Bigstring Features

Features

  1. Stores and manages large volumes of string data
  2. Optimized for high-speed ingestion and retrieval of strings
  3. Built specifically for unstructured text data
  4. Indexes strings for fast lookups and filters
  5. Query strings using SQL-like syntax
  6. Horizontally scalable
  7. Fault-tolerant with replication and sharding
  8. Open source with permissive Apache 2.0 license

Pricing

  • Open Source

Pros

Very fast at writing and reading large amounts of string data

Easier to scale horizontally than general purpose databases

Purpose-built for text analytics use cases

More efficient than generic databases for string data

Open source with no vendor lock-in

Cons

Less full-featured than mature RDBMS like PostgreSQL

Not ideal for structured data

Limited ecosystem of tools and support

Requires more in-house expertise to run and manage

Not as widely used as more popular databases

Official Links


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