Heroic vs ZeroDB

Overview

Heroic

Stacks5

Followers25

Votes0

GitHub Stars846

Forks106

ZeroDB

Stacks4

Followers25

Votes1

Heroic vs ZeroDB: What are the differences?

<Write Introduction here>

Usage Purpose: Heroic focuses on time series data storage and analytics for metrics and events, whereas ZeroDB specializes in providing end-to-end encrypted database services. Heroic is tailored for handling large volumes of time-series data efficiently, while ZeroDB aims to ensure secure storage and processing of data without exposing it to unauthorized access.
Data Encryption: ZeroDB encrypts data at the client-side before storing it in the database, ensuring that the data remains encrypted at rest and even during processing, providing a higher level of data security compared to Heroic. On the other hand, Heroic does not provide built-in encryption features for data storage.
Query Capabilities: ZeroDB offers advanced query capabilities without compromising on data security, allowing users to perform complex queries on encrypted data securely. In contrast, Heroic primarily focuses on efficient storage and retrieval of time-series data, with more limited query functionalities compared to ZeroDB.
Open Source vs Proprietary: Heroic is an open-source project, allowing users to modify and customize the code based on their requirements freely. In contrast, ZeroDB operates on a proprietary model, limiting users' ability to make changes to the underlying code.
Community Support: Heroic benefits from a robust community of developers and users, enabling collaborative development and troubleshooting of issues through community forums and resources. ZeroDB, being a proprietary tool, may have limited community support in terms of user-generated content and community-driven development.
Scalability: Heroic offers horizontal scalability options, allowing users to easily scale the storage and processing capabilities as the data volume grows. On the other hand, ZeroDB may have limitations in terms of scalability due to its focus on data security and encryption, which can impact performance with larger datasets.

In Summary, Heroic and ZeroDB differ in their usage purpose, data encryption methods, query capabilities, open-source vs proprietary nature, community support, and scalability options.

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CLI (Node.js)

Manual

Detailed Comparison

Heroic	ZeroDB
Heroic is Spotify's in-house time series database. It was built to address the challenges Spotify was facing with near real-time data collection and presentation at scale.	ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.
heroic-core contains the com.spotify.heroic.HeroicCore class which is the central building block for setting up a Heroic instance.; heroic-elasticsearch-utils is a collection of utilities for interacting with Elasticsearch. This is separate since we have more than one backend that needs to talk with elasticsearch.; heroic-parser provides an Antlr4 implementation of com.spotify.heroic.grammar.QueryParser, which is used to parse the Heroic DSL.; heroic-shell contains com.spotify.heroic.HeroicShell, a shell capable of either running a standalone, or connecting to an existing Heroic instance for administration.	End-to-End DB Encryption; Queries Over Encrypted Data; Direct Cloud Sharing
Statistics
GitHub Stars 846	GitHub Stars -
GitHub Forks 106	GitHub Forks -
Stacks 5	Stacks 4
Followers 25	Followers 25
Votes 0	Votes 1
Pros & Cons
No community feedback yet	Pros 1 We're in financial services & secure DBs are critical

What are some alternatives to Heroic, ZeroDB?

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

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

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

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 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

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 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

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.

Related Comparisons

Heroic vs ZeroDB: What are the differences?

<Write Introduction here>

Usage Purpose: Heroic focuses on time series data storage and analytics for metrics and events, whereas ZeroDB specializes in providing end-to-end encrypted database services. Heroic is tailored for handling large volumes of time-series data efficiently, while ZeroDB aims to ensure secure storage and processing of data without exposing it to unauthorized access.
Data Encryption: ZeroDB encrypts data at the client-side before storing it in the database, ensuring that the data remains encrypted at rest and even during processing, providing a higher level of data security compared to Heroic. On the other hand, Heroic does not provide built-in encryption features for data storage.
Query Capabilities: ZeroDB offers advanced query capabilities without compromising on data security, allowing users to perform complex queries on encrypted data securely. In contrast, Heroic primarily focuses on efficient storage and retrieval of time-series data, with more limited query functionalities compared to ZeroDB.
Open Source vs Proprietary: Heroic is an open-source project, allowing users to modify and customize the code based on their requirements freely. In contrast, ZeroDB operates on a proprietary model, limiting users' ability to make changes to the underlying code.
Community Support: Heroic benefits from a robust community of developers and users, enabling collaborative development and troubleshooting of issues through community forums and resources. ZeroDB, being a proprietary tool, may have limited community support in terms of user-generated content and community-driven development.
Scalability: Heroic offers horizontal scalability options, allowing users to easily scale the storage and processing capabilities as the data volume grows. On the other hand, ZeroDB may have limitations in terms of scalability due to its focus on data security and encryption, which can impact performance with larger datasets.

In Summary, Heroic and ZeroDB differ in their usage purpose, data encryption methods, query capabilities, open-source vs proprietary nature, community support, and scalability options.

Heroic vs ZeroDB

Overview