Best Data Management Software for Mac - Page 19
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Compare the Top Data Management Software for Mac as of June 2026 - Page 19
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1
Embiot
Telchemy
Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication. -
2
MPP BI
MPP Insights
A Business Intelligence platform natively running with massively parallel databases for data visualization, operational analytics, tracking and reporting. MPP BI paves information superhighway to your business data. Preparation. All necessary data from all required data sources. Clean, consolidated and ready for your work. A wide range of integration options. Processing. No limits on combination of different data types, processing methods and update frequency. Visualization. Loads of basic data visuals, drilling down, ratings, and other nice things for more comfortable working with data for decision-makers. Collaboration. Interactive presentations, natively embedded analytics on your corporate portal and easy data export. Powerful text analytics to reveal valuable meaning of your text data. On top of our MPP BI platform we’ve built a fast and scalable text analytical engine - MPP NLP. It provides: text filtering and rule-based or machine learning classification.Starting Price: $10 per user, per month -
3
Gilhari
Software Tree
We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework. Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises. The object-oriented world and the relational world are conceptually different. Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming. Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data. -
4
Molecula
Molecula
Molecula is an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI. Continuously extracting features, reducing the dimensionality of data at the source, and routing real-time feature changes into a central store enables millisecond queries, computation, and feature re-use across formats and locations without copying or moving raw data. The Molecula feature store provides data engineers, data scientists, and application developers a single access point to graduate from reporting and explaining with human-scale data to predicting and prescribing real-time business outcomes with all data. Enterprises spend a lot of money preparing, aggregating, and making numerous copies of their data for every project before they can make decisions with it. Molecula brings an entirely new paradigm for continuous, real-time data analysis to be used for all your mission-critical applications. -
5
JanusGraph
JanusGraph
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration. -
6
Cayley
Cayley
Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). Cayley is an open-source graph database designed for ease of use and storing complex data. Built-in query editor, visualizer and REPL. Cayley can use multiple query languages like Gizmo, a query language inspired by Gremlin, GraphQL-inspired query language, MQL a simplified version for Freebase fans. Cayley is modular, easy to connect to your favorite programming languages and back-end stores, production ready, well tested and used by various companies for their production workloads and fast with optimized specifically for usage in applications. Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query- films starring X and Y - takes ~150ms. Cayley is configured by default to run in memory (That's what backend memstore means). -
7
Sparksee
Sparsity Technologies
Sparksee (formerly known as DEX), makes space and performance compatible with a small footprint and a fast analysis of large networks. It is natively available for .Net, C++, Python, Objective-C and Java, and covers the whole spectrum of Operating Systems. The graph is represented through bitmap data structures that allow high compression rates. Each of the bitmaps is partitioned into chunks that fit into disk pages to improve I/O locality. Using bitmaps, operations are computed with binary logic instructions that simplify the execution in pipelined processors. Full native indexing allows an extremely fast access to each of the graph data structures. Node adjacencies are represented by bitmaps to minimize their footprint. The number of times each data page is brought to memory is minimized with advanced I/O policies. Each value in the database is represented only once, avoiding unnecessary replication. -
8
Microsoft Power Query
Microsoft
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors. -
9
DataPreparator
DataPreparator
DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data. -
10
MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
11
Postico
Postico
Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional. -
12
Sedna
Sedna
Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language. It provides a number of easy exampes which can be run directly in command line and describes how to run examples provided with Sedna. Sedna distribution comes with an example set based on the XMark XML benchmark. This set allows you to investigate the features of Sedna easily. Examples include bulk load of a sample XML document and a number of sample XQuery queries and updates to this document. Below we will show how to run one of them. -
13
LevelDB
Google
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup. -
14
Salesforce Data Loader
Salesforce
Data Loader is a client application for the bulk import or export of data. Use it to insert, update, delete, or export Salesforce records. When importing data, Data Loader reads, extracts, and loads data from comma-separated values (CSV) files or from a database connection. When exporting data, it outputs CSV files. User interface—When you use the user interface, you work interactively to specify the configuration parameters, CSV files used for import and export, and the field mappings that map the field names in your import file with the field names in Salesforce. Drag-and-drop field mapping. Support for all objects, including custom objects. -
15
rsync
rsync
rsync is an open source utility that provides fast incremental file transfer. rsync is freely available under the GNU General Public License. The GPG signing key that is used to sign the release files is available from the public pgp key-server network. If you have automatic key-fetching enabled, just running a normal "gpg --verify" will grab my key automatically. Or, feel free to grab the gpp key for Wayne Davison manually. rsync is a file transfer program for Unix systems. rsync uses the "rsync algorithm" which provides a very fast method for bringing remote files into sync. It does this by sending just the differences in the files across the link, without requiring that both sets of files are present at one of the ends of the link beforehand. Optionally preserves symbolic links, hard links, file ownership, permissions, devices and times. Internal pipelining reduces latency for multiple files. -
16
Nios4
Nios4
Preset modules and sections, low-code editing tools and features ready to use. Everything you need to manage your data. Take advantage of Windows and Mac to create your perfect ERP. Even without the cloud. Thanks to the Android and iOS apps, you will always have your databases with you. Even without the internet. Work with your favorite browsers wherever you want. Each template has dozens of ready-to-install components to suit your way of working. In addition to permissions, you can assign data to one or more users. Each user thus sees only his data and those you decide. Nios4 allows use even on a single device without data sharing (but you miss the beauty of the system). Create as many sections as you want and best display the data in your tables. Thanks to the integrated GPS functions, you can mark the position of where your data is collected. -
17
PoINT Data Replicator
PoINT Software & Systems
Today, organizations are typically storing unstructured data in file systems and increasingly in object and cloud storage. Cloud and object storage have numerous advantages, particularly with regard to inactive data. This leads to the requirement to migrate or replicate files (e.g. from legacy NAS) to cloud or object storage. More and more data is stored in cloud and object storage. This has created an underestimated security risk. In most cases, data stored in the cloud or in on-premises object storage is not backed up, as it is believed to be secure. This assumption is negligent and risky. High availability and redundancy as offered by cloud services and object storage products do not protect against human error, ransomware, malware, or technology failure. Thus, also cloud and object data need backup or replication, most appropriately on a separate storage technology, at a different location and in the original format as stored in the cloud and object storage. -
18
Apache Kudu
The Apache Software Foundation
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use. -
19
Apache Parquet
The Apache Software Foundation
We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites. -
20
Cloudera Data Platform
Cloudera
Unlock the potential of private and public clouds with the only hybrid data platform for modern data architectures with data anywhere. Cloudera is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers faster and easier data management and data analytics for data anywhere, with optimal performance, scalability, and security. With Cloudera you get all the advantages of private cloud and public cloud for faster time to value and increased IT control. Cloudera provides the freedom to securely move data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives. -
21
eMite
eMite
eMite is the operational intelligence platform that combines advanced analytics, data correlation, KPI management and threshold alerting into a single, out-of-the-box browser-based solution that provides actionable insights from both real-time and historical data. eMite provides a very flexible and powerful data onboarding ETL (extract, transform, load) framework using several technologies to extract data, including APIs, XML, JSON, SQL, and others. eMite has developed over 80 pre-built adaptors to automatically ingest data from common third-party solutions from vendors like Salesforce, Microsoft, Oracle, Atlassian, Snare, and Genesys. eMite also provides adaptors to onboard data from more generic data sources like a database or an Excel file. eMite includes a KPI (Key Performance Indicator) management system, allowing users to build custom KPIs that are relevant to their operations. -
22
Feast
Tecton
Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution. -
23
DataOps DataFlow
Datagaps
A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark. DataOps DataFlow is a modern, web browser-based solution for automating the testing of ETL, Data Warehouse, and Data Migration projects. Use Dataflow to inject data from any of the varied data sources, compare data, and load differences to S3 or a database. With fast and easy to set up, create and run dataflow in minutes. A best in the class testing tool for Big Data Testing DataOps DataFlow can integrate with all modern and advanced data sources including RDBMS, NoSQL, Cloud, and File-Based.Starting Price: Contact us -
24
Semarchy xDI
Semarchy
Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. Integrate all your data with xDI, the high-performance, agile, and extensible data integration for all styles and use cases. Its single technology federates all forms of data integration, and mapping converts business rules into deployable code. xDI has extensible and open architecture supporting on-premise, cloud, hybrid, and multi-cloud environments. -
25
Plantweb Optics
Emerson
Plantweb™ Optics is an enterprise-level, data management solution that helps manufacturers fully leverage meaningful operations data across a production site or from multiple sites by securely collecting and contextualizing data, on premise or using cloud technology. To drive real business improvement, you need to seamlessly leverage valuable operations data from across the enterprise but accessing and aggregating this type of data can be difficult. Operations data is often stored in a wide range of formats and siloed across systems, functions and facilities. And moving millions of data streams across legacy OT networks without disruption to plant systems has presented an even greater challenge, until now. Plantweb Optics can address the technical challenges associated with communicating with legacy OT systems and protocols and combine data from multiple sources into a single TCP data stream. -
26
Insigna
Insigna
Insigna - Unified Digital Operations Platform™ offers comprehensive solutions for unification, management & analysis of operations data enabling insights for informed decisions and performance improvements. With Insigna, you unlock the full potential of your data. Insigna solutions focus on open integration, enabling Seamless Connectivity across your ops, Data Analytics, Workflow Simplification, Automation, & Optimization, empowering organizations to harness the power of Data Intelligence. A user-friendly, no-code configuration, helps you easily create customized dashboards & reports for actionable insights at your fingertips. Experience a rapid return on investment as Insigna streamlines your workflows & automates repetitive tasks, freeing up valuable resources for strategic initiatives. With real-time analytics & intuitive intelligence, decision-makers can quickly identify trends and make informed choices that drive incremental growth. -
27
Navicat for MongoDB
Navicat
Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script. Navicat for MongoDB is designed to streamline your routine database tasks. The new interface is easy to access and understand -- giving you new ways to manage your MongoDB databases and making your work more efficient than ever. Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script. -
28
SQLPro
SQLPro
Native and ready for Big Sur. Using the latest features of macOS, but still supporting Catalina and Mojave. Coming from Microsoft SQL Management Studio? Our interface and workflow is similar to what you are used to with a few of our own improvements. Working with Amazon or Azure relational database service? No problem, SQLPro for MySQL supports MySQL 5.0 and above, including cloud instances. Need to see the results for multiple tables at once? You can execute multiple queries and have the results for each displayed at the same time, including any errors and messages.Starting Price: $6.37 per month -
29
CYRISMA
CYRISMA
CYRISMA is an all-in-one cyber risk management platform that enables you to discover, understand, mitigate, and manage risk in a holistic and cost-effective manner. Identify and mitigate network and endpoint vulnerabilities, discover and secure sensitive data across cloud and on-prem environments, strengthen OS configuration settings, track compliance, and generate cyber risk assessment reports in a few easy steps. Platform capabilities include (everything included in the price): -- Vulnerability and Patch Management -- Secure OS Configuration Scanning -- Sensitive data discovery; data protection (both on-prem cloud including Microsoft Office 365 and Google Workspace) -- Dark web monitoring -- Compliance Tracking (NIST CSF, CIS Critical Controls, SOC 2, PCI DSS, HIPAA, ACSC Essential Eight, NCSC Cyber Essentials) -- Active Directory Monitoring (both on-prem and Azure) -- Cyber risk quantification in multiple currencies -- Cyber risk assessment and reporting -
30
Qostodian
Qohash
Qostodian is the ultimate data security posture management platform for businesses. With risk profiling, real-time insights, sensor management, and actionable alerts, it’s the one-stop shop to stay ahead of security threats. Qostodian provides an unprecedented level of granular insights, allowing companies to continuously monitor their security posture and efficiently pinpoint and resolve security concerns as they arise. Qohash’s Qostodian platform finds, inventories, and continuously monitors individual data elements across workstations, attached and shared drives, and Microsoft 365 cloud apps. Monitor employee interactions with sensitive data 24/7, with a modern, intuitive SaaS data security platform, offered for a one-time predictable fee. Secure your entire environment, including workstations and Microsoft cloud applications. Your sensitive information never leaves your environment. Look into files and get even more precise results with granular data element tracking.
