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BoltDB VS DataFleets

Compare BoltDB VS DataFleets and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

BoltDB logo BoltDB

An embedded key/value database for Go. Contribute to boltdb/bolt development by creating an account on GitHub.

DataFleets logo DataFleets

Data science for private data.
  • BoltDB Landing page
    Landing page //
    2023-10-07
  • DataFleets Landing page
    Landing page //
    2023-08-28

The world's first cloud platform for unified and privacy-preserving enterprise data analytics powered by Federated Learning. It's never been easier to securely bridge data silos and create new data-driven products with strong network effects. DataFleets allows data teams to ship their analytics out to data, wherever it resides, analyzing it compliantly (e.g., GDPR, CCPA) with game-changing results: 10x available data and 10x speed in accessing it.

BoltDB features and specs

  • Simplicity
    BoltDB is easy to use with a simple API, making it accessible for developers to integrate into applications without a steep learning curve.
  • Performance
    Designed for high read performance, BoltDB offers efficient access to data that makes it suitable for applications with heavy read workloads.
  • ACID Transactions
    BoltDB supports ACID transactions, ensuring data integrity and reliability across operations, which is essential for applications that require consistent state.
  • Embedded
    As an embedded key/value store, BoltDB operates within the application's memory space, reducing the overhead associated with server-based databases.
  • Go-centric
    Written in pure Go, BoltDB is optimized for applications written in Go, providing seamless integration and compatibility for Go developers.

Possible disadvantages of BoltDB

  • Write Concurrency
    BoltDB uses a single writer with multiple readers, which can become a bottleneck in write-heavy applications as concurrent writes are not supported.
  • Scalability
    Designed as an embedded database, BoltDB is not ideal for applications requiring distributed or highly scalable database solutions.
  • Deprecation
    BoltDB is no longer actively maintained in its original repository, which may deter developers from adopting it due to potential risks with unsupported software.
  • Large Dataset Handling
    BoltDB might experience performance degradation with very large datasets, as it was primarily designed for smaller, single-node applications.
  • Limited Features
    Compared to more advanced databases, BoltDB lacks features like advanced querying capabilities, caching mechanisms, and complex data types that might be needed in complex applications.

DataFleets features and specs

No features have been listed yet.

BoltDB videos

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DataFleets videos

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Enterprise Analytics: Federated Learning and Differential Privacy

Category Popularity

0-100% (relative to BoltDB and DataFleets)

BoltDB

DataFleets

Databases
100 100%
Databases
0% 0
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
AI
0 0%
AI
100% 100

User comments

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Social recommendations and mentions

Based on our record, BoltDB seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BoltDB mentions (14)

  • Bleve: How to build a rocket-fast search engine?
    Bleve supports a few different index types, but I found after much fiddling that the "scorch" index type gives you the best performance. If you don't pass in the last 3 arguments, Bleve will just default to BoltDB. - Source: dev.to / over 1 year ago
  • Announcing jammdb: a simple single-file key/value store
    This crate started out as just a way for me to learn how boltdb works, while learning Rust at the same time. But somehow people started finding and using it and seem to like the simple API, so I figured I might as well share it in case someone else finds it useful too. If you want to know more about my motivations and the history of this crate, you can read the release notes on version 0.8.0! Source: over 3 years ago
  • Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
    Some example of embeddable database could be genji, badger and boltdb. Source: over 3 years ago
  • Ask HN: Books on designing disk-optimized data structures?
    Designing Data Intensive applications- specifically chapter 3 and 4 which deal with strategies and algorithms for storing and encoding data to be stored on disk and their pros and cons. Once you read that, I'll suggest reading the source of a simple embedded key-value database, I wouldn't bother with RDBMs as they are complex beasts and contain way more than you need. BoltDB is a good project to read the source of... - Source: Hacker News / almost 4 years ago
  • GitHub examples of Go that's written really well?
    Bolt db and Bolt db's author post to go with it. Source: about 4 years ago
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DataFleets mentions (0)

We have not tracked any mentions of DataFleets yet. Tracking of DataFleets recommendations started around Mar 2021.

What are some alternatives?

When comparing BoltDB and DataFleets, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

memcached - High-performance, distributed memory object caching system

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

SQLite - SQLite Home Page

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