Top 8 nosql database tools for developer in 2023.

Micros

Get your Python & Node.js apps / APIs on the internet in seconds.

Base

Deta Base is a super easy to use production-grade NoSQL database that comes with unlimited storage.

Drive

The easy to use cloud storage solution by Deta – get 10GB for free.

100% free.

Many workloads

Transactional, analytical, full-text search, time series, and more

Query and analyze data

Consistent Query API experience for all operations, with idiomatic language support

Scale

Run confidently in production with built-in replication, sharding, indexing, performance tools, and more

Serverless

• from $0.10/million reads
• Up to 1TB of storage
• Resources scale seamlessly to meet your workload
• Pay only for the operations you run
• Always-on security and backups

Dedicated

• from $57/month10GB to 4TB of storage
• 10GB to 4TB of storage
• 2GB to 768GB RAMn and fine-grained access controls
• Network isolation and fine-grained access controls

• Unparalleled performance at any scale with instant and limitless elasticity, fast reads, and multi-region writes anywhere in the world
• Fast, flexible app development with free dev/test options, multiple SDKs, and support for open-source PostgreSQL, MongoDB, and Apache Cassandra
• Ready for mission-critical applications with 99.999 percent availability, continuous backup, and enterprise-grade security
• Pay for only what you use with a cost-effective, responsive, and fully managed serverless database that scales elastically with your app

Find the model that best fits your workload, with free options for testing and development. Enjoy virtually unlimited throughput and storage, scale-out architectures for automatic elasticity, traditional scale-up of nodes, and consumption-based serverless options.

Hybrid

Masterless architecture and low latency means Cassandra will withstand an entire data center outage with no data loss—across public or private clouds and on-premises.

Fault Tolerant

Cassandra’s support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. Failed nodes can be replaced with no downtime.

Focus on Quality

To ensure reliability and stability, Cassandra is tested on clusters as large as 1,000 nodes and with hundreds of real world use cases and schemas tested with replay, fuzz, property-based, fault-injection, and performance tests.

Performant

Cassandra consistently outperforms popular NoSQL alternatives in benchmarks and real applications, primarily because of fundamental architectural choices.

You’re In Control

Choose between synchronous or asynchronous replication for each update. Highly available asynchronous operations are optimized with features like Hinted Handoff and Read Repair.

Security and Observability

The audit logging feature for operators tracks the DML, DDL, and DCL activity with minimal impact to normal workload performance, while the fqltool allows the capture and replay of production workloads for analysis.

Distributed

Cassandra is suitable for applications that can’t afford to lose data, even when an entire data center goes down. There are no single points of failure. There are no network bottlenecks. Every node in the cluster is identical.

Scalable

Read and write throughput both increase linearly as new machines are added, with no downtime or interruption to applications.

Elastic

Cassandra streams data between nodes during scaling operations such as adding a new node or datacenter during peak traffic times. Zero Copy Streaming makes this up to 5x faster without vnodes for a more elastic architecture particularly in cloud and Kubernetes environments.

Open source

Riak is a distributed NoSQL database that delivers:

• Unmatched Resiliency beyond typical “high availability” offerings
• Innovative technology to ensure data accuracy and never lose a write
• Massive scale on commodity hardware
• Common code foundation with true multi-model support

Open source

Flexible

JSON means your data can adapt to agile workflows and changing requirements. Multi-model means you can consolidate multiple data technologies into one Couchbase database.

• Human-readable JSON standard data
• Key-value, SQL++, indexing, full-text search, analytics, and eventing all built in
• Flexible modeling and access that enables iterative, agile development cycles

Fast

Couchbase has a built-in managed cache to enable a memory-first architecture. Read and write operations run at the speed of RAM.

• Microsecond latency and lightning-fast performance
• Easy scale-out to accommodate your growing workloads
• Automatic sharding, automatic failover, and automatic replication

Familiar

Couchbase brings together the best of NoSQL document databases and relational databases.

• SQL++ engine enables SQL queries on JSON data
• ACID transactions in SDKs and in SQL++ for enhanced data consistency
• Scopes and collections provide data organization levels similar to relational schemas and tables
• SDKs in 11+ languages plus a variety of extensions and integrations

Distributed Database Architecture

Inside Capella is Couchbase, the fast, feature-rich distributed NoSQL database that combines the flexibility of JSON documents with unmatched speed and scale in a modern cloud database platform.

Couchbase Capella

• Create data schemas and tables in DynamoDB using sample data model templates and datasets available in NoSQL Workbench.
• NoSQL Workbench now bundles with DynamoDB Local to help you set up a local DynamoDB design and development environment to get started faster.
• Import data from Amazon S3 directly into a new DynamoDB table without writing any code or managing additional infrastructure.
• AWS Glue supports DynamoDB as a source to combine and replicate data continuously across multiple databases in near real-time.
• Use PartiQL, a SQL-compatible query language, to query, insert, update, and delete table data in DynamoDB.
• Use Amazon Kinesis Data Streams to capture item-level changes in your DynamoDB tables.
• Restore DynamoDB tables even faster.
• AWS Pricing Calculator now supports DynamoDB.
• Export data from DynamoDB to Amazon Simple Storage Service (Amazon S3) and use other AWS services such as Amazon Athena to analyze your data and extract actionable insights.

Pricing for on-demand capacity mode

With on-demand capacity mode, DynamoDB charges you for the data reads and writes your application performs on your tables. You can get started without specifying read or write capacity as DynamoDB will instantly adjust based on your workloads’ requirements

On-demand capacity mode might be best if you:

• Create new tables with unknown workloads
• Have unpredictable application traffic
• Prefer the ease of paying for only what you use

Pricing for provisioned capacity mode

With provisioned capacity mode, you specify the number of reads and writes per second that you expect your application to require. You can use auto scaling to automatically adjust your table’s capacity based on the specified utilization rate to ensure application performance while reducing costs.

Provisioned capacity mode might be best if you:

• Have predictable application traffic
• Run applications whose traffic is consistent or ramps gradually
• Can forecast capacity requirements to control costs

Data: Your Most Precious Resource

The backends that deliver data to GraphQL are diverse, and the data is your most precious resource. StepZen provides a way to modernize your stack, accelerate application development and still leverage years of investment in REST API and database technologies.

Fast Time to Value - Declaratively!

StepZen provides a unique declarative approach to building GraphQL. Your GraphQL API or federated API is composed from declarative building blocks - resulting in smaller and more intuitive code, better runtime performance, and faster time to value.

Query Optimization Engine

Because the API is built declaratively, and by leveraging the backgrounds of the StepZen team, we have built an in-memory Golang-based query optimization engine that is much more than just a router.

Security

You have a single endpoint that may expose more than a REST endpoint, especially if you federate multiple services in a GraphQL API. So granting access to the endpoint may generate more risk than granting access to a single REST endpoint. StepZen gives you the ability to control access to the GraphQL schema that lies beyond the endpoint - to protect your data, your APIs, and your data sources.

Managing Change

GraphQL APIs evolves. You are constantly adding or changing backends, parameters, queries and mutations. The combination of a declarative approach and a framework in which everything is just text files, APIs built in StepZen fit easily and naturally into your CI/CD pipeline.

Federation & Graphs of Graphs

In large enterprises, federated GraphQL APIs (graphs of graphs) are often the right structure for enabling API strategy across teams and domains. StepZen's declarative directives enable GraphQL federation in the same way as you build a single GraphQL API. Furthermore, you have choice. You can also quickly enable subgraphs for Apollo Federation.

GraphQL-as-a-Service

StepZen’s architecture is designed to be high throughput, low-latency. You can consume GraphQL-as-a-Service on StepZen cloud, and for our enterprise customers, we can deliver StepZen in private clouds.