Overview

Symas LMDB

Stacks17

Followers36

Votes0

ScyllaDB

Stacks143

Followers197

Votes8

Scylla vs Symas LMDB: What are the differences?

Introduction

Scylla and Symas LMDB are both popular database technologies, but they have key differences that set them apart. Let's explore the main distinctions between these two databases.

Performance: Scylla is optimized for high performance and low latency, making it ideal for real-time applications requiring fast response times. On the other hand, Symas LMDB is designed for efficient data storage and retrieval, making it well-suited for applications with a heavy read workload.
Consistency Model: Scylla follows a tunable consistency model, offering a range of consistency levels to suit different use cases. In contrast, Symas LMDB provides strong ACID-compliant consistency by default, ensuring data integrity at all times.
Data Model: Scylla is a wide-column store, supporting flexible schema design and horizontal scalability through sharding. Symas LMDB, on the other hand, is a key-value store that excels at handling large volumes of simple data pairs efficiently.
Data Distribution: Scylla employs automatic data distribution and replication across nodes in a cluster for fault tolerance and high availability. Symas LMDB operates on a single-node architecture, although it can be combined with other technologies for distributed setups.
Storage Engine: Scylla uses a log-structured merge-tree (LSM-tree) storage engine, optimized for fast writes and efficient compaction. Symas LMDB utilizes a B+Tree storage engine, providing fast key lookups and range scans with minimal disk I/O.
Community Support: Scylla boasts a vibrant open-source community with regular updates and contributions from developers worldwide. In comparison, Symas LMDB is supported by a dedicated team of experts, offering commercial support and consulting services for enterprise deployments.

In Summary, Scylla and Symas LMDB differ significantly in performance optimization, consistency model, data model, data distribution, storage engine, and community support.

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Advice on Symas LMDB, ScyllaDB

Tom

CEO at Gentlent

Jun 9, 2020

Decided

The Gentlent Tech Team made lots of updates within the past year. The biggest one being our database:

We decided to migrate our #PostgreSQL -based database systems to a custom implementation of #Cassandra . This allows us to integrate our product data perfectly in a system that just makes sense. High availability and scalability are supported out of the box.

387k views387k

Comments

Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k

Comments

Detailed Comparison

Symas LMDB	ScyllaDB
It is an extraordinarily fast, memory-efficient database which is developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases.	ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows.
Ordered-map interface; Fully-transactional; Multi-thread and multi-process concurrency supported	High availability; horizontal scalability; vertical scalability; Cassandra compatible; DynamoDB compatible; wide column; NoSQL; lightweight transactions; change data capture; workload prioritization; shard-per-core; IO scheduler; self-tuning
Statistics
Stacks 17	Stacks 143
Followers 36	Followers 197
Votes 0	Votes 8
Pros & Cons
No community feedback yet	Pros 2 Replication 1 Written in C++ 1 High availability 1 High performance 1 Distributed
Integrations
Python Linux Java Windows macOS	KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark

What are some alternatives to Symas LMDB, ScyllaDB?

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.